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.
ADD3 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
44.4
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
162.3
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
134.2
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
108.4
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
102.9
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
97.8
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
96.8
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
96.8
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
92.9
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
87.1
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
84.6
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
81.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
81.3
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
81.1
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
79.7
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
77.8
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
73.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
73.1
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
71.3
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
69.9
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
69.4
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
69.0
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
69.0
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
68.1
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
67.9
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
67.2
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
66.9
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
66.4
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
65.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
65.5
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
65.2
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
63.7
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
63.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
63.5
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
63.3
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
62.3
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
61.0
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
60.6
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
60.5
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
60.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
59.9
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
59.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
59.2
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
59.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
59.0
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
58.7
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
58.7
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
58.5
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
58.0
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
58.0
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
57.8
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
57.4
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
56.6
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
56.5
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
56.4
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
56.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
55.1
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
55.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
54.4
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
54.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
53.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
53.6
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
53.6
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
53.2
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
52.7
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
52.5
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
52.1
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
52.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
52.0
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
51.8
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
51.5
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
51.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
51.0
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
50.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
50.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
50.0
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
49.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
49.7
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
49.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
49.3
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
49.0
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
48.9
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
48.6
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
48.6
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
48.5
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
48.4
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
48.1
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
47.9
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
47.6
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
47.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
47.1
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
47.0
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
46.4
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
46.1
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
45.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
45.8
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
45.8
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
45.8
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
45.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
45.4
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
45.3
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
44.9
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
44.9
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
44.8
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
44.7
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
44.7
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
44.5
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
44.5
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
44.2
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
44.1
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
43.9
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
43.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
43.8
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
43.7
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
43.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
43.5
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
43.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
43.4
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
43.2
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
42.4
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
42.4
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
42.3
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
42.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
42.2
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
42.0
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
41.9
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
41.8
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
41.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
41.6
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
41.5
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
41.4
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
41.3
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
41.2
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
41.1
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
41.0
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
40.8
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
40.5
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
40.4
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
40.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
40.2
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
40.1
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
39.9
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
39.5
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
39.5
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
39.3
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
39.2
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
39.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
39.1
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
38.8
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
38.8
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
38.5
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
38.4
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
38.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
38.3
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
37.9
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
37.9
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
37.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
37.7
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
37.3
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
37.2
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
37.1
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
37.1
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
37.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
36.9
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
36.7
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
36.6
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
36.3
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
36.0
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
36.0
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
35.8
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
35.8
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
35.7
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
35.6
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
35.4
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
35.2
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
34.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
34.9
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
34.7
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
34.7
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
34.4
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
34.3
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
34.2
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
33.9
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
33.8
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
33.7
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
33.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
33.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
33.4
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
33.4
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
32.7
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
32.6
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
32.2
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
32.2
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
32.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
32.0
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
31.9
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
31.5
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
31.4
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
31.3
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
31.0
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
30.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
30.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
30.6
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
30.5
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
30.3
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
30.0
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
29.9
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
29.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
29.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
28.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
28.7
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
28.6
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
28.5
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
28.3
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
28.1
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
27.9
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
27.9
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
27.8
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
27.2
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
26.9
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
26.8
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
26.1
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
25.5
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
24.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
23.9
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
23.9
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
23.8
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
23.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
23.3
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
23.3
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
23.1
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
22.6
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
22.2
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
21.7
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
20.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
20.6
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
20.4
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
20.3
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
20.0
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
19.8
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
19.4
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
18.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
17.5
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
17.5
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
17.4
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
17.3
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
16.4
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
15.9
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
15.1
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
13.0
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
12.9
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
12.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
12.1
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
10.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 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.
ADD3 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
66.8
Number of samples
486
Samples
Sample
Description
TPM
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
183.7
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
154.7
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
143.4
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
142.6
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
134.2
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
127.1
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
121.4
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
118.5
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
118.0
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
117.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
116.1
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
116.0
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
115.3
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
114.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
114.3
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
113.5
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
112.2
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
111.2
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
110.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
109.5
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
109.2
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
108.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
107.4
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
107.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
106.1
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
105.8
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
105.7
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
105.3
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
104.2
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
102.9
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
101.9
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
101.4
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
100.6
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
100.6
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
99.7
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
99.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
98.9
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
98.6
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
98.4
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
98.2
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
98.1
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
97.4
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
97.2
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
97.1
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
96.1
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
96.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
95.7
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
95.7
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
95.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
95.0
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
94.2
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
94.1
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
93.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
93.7
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
93.7
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
93.6
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
93.5
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
93.1
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
92.6
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
92.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
92.1
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
92.0
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
92.0
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
92.0
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
91.8
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
91.5
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
91.4
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
90.6
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
90.5
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
90.1
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
89.9
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
89.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
89.4
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
89.3
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
89.2
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
88.7
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
88.4
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
88.1
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
87.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
87.7
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
87.6
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
87.5
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
87.5
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
87.4
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
87.2
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
87.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
87.0
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
86.8
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
86.2
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
86.2
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
86.2
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
86.2
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
85.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
85.5
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
85.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
85.3
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
85.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
84.9
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
84.7
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
84.6
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
84.6
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
84.5
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
84.4
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
84.2
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
84.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
83.7
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
83.7
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
83.6
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
83.5
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
83.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
83.0
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
82.0
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
81.8
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
81.3
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
81.3
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
81.0
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
80.9
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
80.6
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
80.4
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
80.3
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
80.1
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
80.0
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
79.9
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
79.4
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
79.3
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
79.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
79.2
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
79.1
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
79.0
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
78.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
78.7
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
78.5
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
78.5
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
78.3
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
78.2
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
78.2
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
77.9
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
77.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
77.8
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
77.6
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
77.6
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
77.4
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
77.4
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
77.3
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
77.0
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
76.9
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
76.7
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
76.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
76.1
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
76.0
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
75.6
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
75.6
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
75.4
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
75.4
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
75.3
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
75.3
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
75.2
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
75.1
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
75.1
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
75.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
75.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
74.8
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
74.8
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
74.8
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
74.7
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
74.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
74.6
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
74.4
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
74.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
74.1
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
74.1
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
73.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
73.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
73.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
73.3
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
73.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
72.7
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
72.7
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
72.3
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
72.2
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
72.1
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
71.9
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
71.9
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
71.8
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
71.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
71.5
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
71.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
71.1
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
71.0
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
70.9
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
70.8
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
70.7
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
70.7
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
70.6
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
70.4
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
70.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
70.1
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
70.1
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
69.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
69.7
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
69.6
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
69.2
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
69.2
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
69.1
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
68.9
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
68.8
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
68.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
68.5
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
68.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
68.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
68.2
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
68.0
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
67.9
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
67.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
67.7
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
67.3
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
67.2
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
67.2
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
67.2
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
66.9
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
66.9
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
66.8
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
66.7
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
66.7
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
66.6
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
66.5
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
66.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
66.2
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
66.2
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
66.2
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
65.9
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
65.7
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
65.6
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
65.4
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
65.4
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
65.0
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
64.9
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
64.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
64.7
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
64.7
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
64.6
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
64.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
64.3
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
64.3
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
64.3
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
64.2
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
64.2
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
64.2
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
64.1
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
64.1
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
64.1
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
64.0
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
63.9
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
63.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
63.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
63.0
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
63.0
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
63.0
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
62.9
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
62.9
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
62.6
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
62.4
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
62.3
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
62.2
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
62.2
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
62.0
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
61.9
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
61.9
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
61.8
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
61.8
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
61.7
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
61.6
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
61.6
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
61.5
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
61.3
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
61.3
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
61.2
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
61.1
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
60.9
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
60.8
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
60.7
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
60.6
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
60.3
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
60.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
60.1
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
60.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
59.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
59.6
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
59.5
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
59.3
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
59.2
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
59.1
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
59.1
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
59.1
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
59.0
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
58.9
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
58.9
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
58.9
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
58.9
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
58.8
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
58.6
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
58.6
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
58.3
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
58.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
58.3
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
58.2
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
58.0
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
57.9
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
57.8
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
57.5
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
57.5
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
57.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
57.2
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
57.2
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
57.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
57.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
57.0
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
57.0
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
56.9
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
56.8
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
56.7
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
56.2
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
56.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
56.2
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
55.9
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
55.7
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
55.5
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
55.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
54.8
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
54.8
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
54.7
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
54.7
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
54.6
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
54.6
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
54.5
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
54.4
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
54.2
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
54.2
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
54.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
54.0
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
53.9
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
53.9
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
53.9
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
53.8
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
53.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
53.5
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
53.5
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
53.4
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
53.2
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
53.2
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
52.6
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
52.5
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
52.5
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
52.5
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
52.3
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
52.3
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
52.3
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
52.2
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
52.1
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
52.0
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
51.7
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
51.6
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
51.5
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
51.4
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
51.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
51.3
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
51.2
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
51.1
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
51.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
50.9
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
50.7
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
50.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
50.6
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
50.4
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
50.3
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
50.3
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
50.3
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
50.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
50.1
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
50.0
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
50.0
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
49.9
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
49.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
49.3
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
49.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
49.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
48.9
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
48.9
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
48.9
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
48.6
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
48.4
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
48.1
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
48.1
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
48.0
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
47.9
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
47.6
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
47.3
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
47.3
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
47.2
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
46.6
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
46.5
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
46.5
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
46.4
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
46.4
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
46.3
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
46.3
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
46.2
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
46.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
46.1
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
46.1
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
45.9
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
45.7
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
45.5
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
45.5
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
45.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
45.2
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
45.2
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
44.8
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
44.7
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
44.0
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
43.9
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
43.7
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
43.7
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
43.5
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
43.3
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
43.3
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
43.3
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
43.2
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
43.2
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
43.2
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
43.2
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
43.0
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
42.8
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
42.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
42.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
42.3
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
42.1
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
42.1
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
42.0
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
41.7
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
41.6
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
41.1
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
41.0
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
40.7
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
40.0
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
39.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
39.5
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
39.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
39.0
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
39.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
38.3
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
37.6
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
37.5
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
37.1
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
36.1
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
35.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
34.4
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
34.3
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
34.1
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
34.0
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
34.0
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
33.9
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
32.2
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
31.9
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
31.8
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
31.7
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
31.6
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
31.2
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
31.1
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
30.1
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
30.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
29.3
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
28.3
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
27.9
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
25.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
23.8
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
22.9
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
22.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
21.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
21.2
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
21.0
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
20.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
18.0
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
13.4
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.8
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
ADD3 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
46.0
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
102.0
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
93.2
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
87.8
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
83.4
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
82.7
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
77.7
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
77.1
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
74.5
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
73.9
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
73.0
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
72.6
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
67.4
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
65.9
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
64.2
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
64.2
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
62.5
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
61.4
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
61.3
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
59.5
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
57.6
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
57.2
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
56.3
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
55.6
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
55.6
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
55.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
55.5
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
54.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
54.3
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
53.4
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
53.3
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
53.2
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
53.1
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
51.8
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
50.6
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
48.2
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
47.5
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
46.9
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
45.9
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
45.7
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
45.1
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
45.0
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
44.8
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
44.5
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
44.1
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
44.0
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
43.8
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
43.0
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
40.9
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
40.9
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
40.4
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
39.3
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
39.1
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
38.9
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
38.8
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
38.3
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
38.3
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
38.2
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
37.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
37.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
36.8
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
36.5
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
36.4
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
36.4
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
35.1
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
34.3
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
33.5
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
33.3
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
32.7
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
31.6
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
29.1
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
28.9
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
28.9
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
28.5
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
28.4
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
27.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
27.5
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
26.9
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
26.6
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
26.0
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
25.0
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
22.8
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
21.7
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
20.8
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
20.1
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
14.0
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
12.8
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
11.7
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
ADD3 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
63.2
Number of samples
207
Samples
Sample
Description
TPM
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
130.4
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
129.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
122.1
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
117.6
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
117.0
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
115.6
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
112.2
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
108.5
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
105.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
105.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
103.8
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
103.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
103.7
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
103.3
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
102.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
100.6
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
94.6
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
94.0
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
92.0
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
90.4
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
86.8
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
86.1
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
85.8
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
85.6
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
83.7
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
83.1
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
82.7
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
81.7
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
79.2
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
78.4
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
78.2
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
78.0
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
77.8
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
77.1
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
76.6
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
76.3
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
76.3
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
76.1
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
76.1
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
75.7
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
75.7
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
75.4
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
75.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
74.3
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
73.9
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
73.8
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
73.4
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
73.4
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
73.2
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
73.2
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
72.3
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
72.0
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
71.7
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
71.0
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
70.9
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
70.7
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
70.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
69.9
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
69.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
69.7
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
68.5
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
68.2
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
68.1
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
68.0
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
67.9
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
67.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
67.7
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
67.4
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
67.2
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
67.1
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
67.1
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
66.8
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
66.6
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
66.6
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
66.6
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
66.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
66.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
66.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
66.2
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
66.0
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
66.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
65.8
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
65.5
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
63.8
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
63.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
63.3
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
63.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
63.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
63.0
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
62.8
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
62.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
62.6
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
62.6
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
62.3
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
61.8
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
61.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
61.6
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
61.5
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
61.3
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
61.0
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
60.8
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
60.8
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
60.5
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
60.5
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
60.3
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
59.7
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
59.7
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
59.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
59.5
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
59.4
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
59.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
58.8
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
58.7
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
58.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
58.2
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
58.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
57.9
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
57.9
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
57.8
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
57.6
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
57.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
57.5
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
57.5
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
57.1
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
57.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
57.0
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
56.9
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
56.4
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
56.4
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
56.0
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
55.6
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
55.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
55.0
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
54.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
54.5
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
54.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
54.0
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
53.8
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
53.6
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
53.5
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
53.5
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
53.2
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
52.7
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
52.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
51.5
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
51.5
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
50.9
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
50.9
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
50.8
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
50.7
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
50.7
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
50.6
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
50.3
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
50.3
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
50.1
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
49.9
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
49.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
49.6
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
49.6
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
49.5
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
49.2
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
49.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
49.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
48.6
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
48.5
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
48.2
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
48.0
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
47.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
47.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
47.5
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
47.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
47.4
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
47.3
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
47.2
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
46.7
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
46.6
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
46.4
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
46.3
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
45.8
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
45.8
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
45.7
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
45.0
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
45.0
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
44.8
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
42.5
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
42.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
42.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
42.3
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
41.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
41.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
41.1
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
40.3
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
40.2
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
39.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
39.8
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
39.5
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
39.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
37.9
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
36.9
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
36.5
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
35.5
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
33.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
33.8
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
30.5
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
29.8
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
21.7
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
5.3
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.8
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.8
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.7
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.7
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.7
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.7
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.7
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.6
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.6
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.6
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.5
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.5
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.5
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.5
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.5
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.5
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.5
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.5
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.5
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.5
82157a70-12f1-4913-b548-d98881_D2
Normal
0.5
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.5
41a04113-2061-4923-bca5-da586c_D2
Normal
0.5
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.5
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.5
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.4
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.4
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.4
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.4
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.4
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.4
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.4
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.4
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.4
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.4
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.4
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.4
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.4
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.4
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.4
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.4
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.4
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
0.3
b2400046-1d25-429d-a821-6040a6
Tumor
0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.3
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.0
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.0
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.0
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.3
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.3
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.3
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.3
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.3
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.3
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.4
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.4
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.4
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.4
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.4
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.4
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.4
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.4
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.4
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.4
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.4
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.4
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.5
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.5
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.5
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.5
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.5
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.5
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.5
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.5
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.6
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.6
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.6
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.8
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-1.0
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
