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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MYADM 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
56.5
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
307.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
205.1
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
189.3
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
180.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
161.8
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
161.5
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
159.4
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
158.4
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
140.9
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
136.8
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
132.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
127.7
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
126.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
123.9
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
121.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
114.2
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
112.6
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
107.7
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
106.1
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
103.6
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
103.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
102.5
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
102.4
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
102.1
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
94.8
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
94.2
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
93.8
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
93.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
93.1
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
92.8
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
92.4
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
90.5
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
90.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
90.2
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
89.5
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
89.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
87.9
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
87.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
87.2
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
86.7
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
85.7
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
85.4
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
84.4
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
83.3
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
83.1
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
82.6
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
81.4
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
80.0
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
78.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
77.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
76.9
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
76.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
76.2
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
76.0
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
75.2
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
75.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
74.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
74.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
73.5
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
73.4
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
73.2
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
72.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
72.6
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
72.0
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
71.1
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
70.1
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
69.8
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
69.5
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
69.1
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
68.6
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
68.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
68.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
67.7
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
67.7
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
66.9
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
66.6
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
66.4
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
66.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
65.3
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
65.3
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
65.2
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
65.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
65.1
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
64.4
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
64.1
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
64.0
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
64.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
63.0
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
62.9
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
62.3
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
61.7
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
61.6
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
61.6
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
60.3
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
60.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
59.9
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
59.7
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
59.1
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
59.1
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
58.5
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
57.8
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
57.0
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
56.9
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
56.8
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
56.5
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
55.9
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
55.9
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
55.6
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
55.6
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
55.5
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
55.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
54.4
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
53.9
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
53.7
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
53.4
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
53.1
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
52.9
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
52.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
52.3
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
51.8
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
51.7
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
51.0
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
50.7
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
50.5
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
50.4
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
50.3
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
50.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
50.0
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
49.9
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
49.7
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
49.5
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
49.5
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
48.0
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
47.6
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
47.6
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
47.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
46.7
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
46.7
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
46.3
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
45.9
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
45.9
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
45.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
45.5
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
45.1
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
44.4
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
44.4
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
44.2
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
44.1
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
43.8
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
43.8
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
43.8
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
43.7
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
43.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
43.3
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
43.2
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
43.2
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
43.2
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
42.7
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
41.6
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
40.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
40.1
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
39.4
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
38.6
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
38.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
37.6
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
36.5
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
36.2
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
35.4
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
35.3
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
35.2
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
34.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
34.6
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
34.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
34.2
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
34.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
33.8
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
33.8
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
33.4
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
33.3
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
33.2
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
33.0
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
32.8
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
32.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
32.3
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
32.2
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
31.2
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
31.0
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
30.9
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
30.5
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
30.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
30.5
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
30.2
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
30.2
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
30.2
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
29.9
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
29.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
29.6
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
29.4
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
29.0
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
28.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
28.5
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
28.4
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
27.7
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
27.7
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
27.2
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
27.2
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
27.0
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
26.4
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
26.1
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
26.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
25.4
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
25.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
25.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
24.7
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
24.6
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
23.8
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
23.5
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
23.4
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
23.4
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
23.2
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
22.6
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
21.8
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
21.6
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
21.4
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
21.2
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
20.7
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
20.2
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
20.1
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
19.3
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
19.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
19.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
19.0
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
18.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
17.9
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
17.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
17.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
16.2
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
15.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
15.8
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
15.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
14.6
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
14.4
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
14.4
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
14.0
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
14.0
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
12.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
11.1
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
11.0
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
9.9
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
8.9
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
8.7
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
8.1
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
6.1
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 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.
MYADM 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
114.3
Number of samples
486
Samples
Sample
Description
TPM
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
551.9
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
458.8
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
355.4
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
335.3
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
310.9
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
280.1
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
259.9
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
253.0
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
248.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
248.1
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
247.5
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
245.0
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
240.9
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
224.5
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
223.5
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
221.0
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
213.9
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
210.9
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
210.6
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
207.1
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
206.5
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
205.6
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
204.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
204.0
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
203.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
203.8
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
202.1
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
201.9
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
200.8
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
198.3
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
193.6
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
192.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
189.2
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
189.1
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
188.4
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
187.9
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
187.7
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
186.9
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
185.8
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
184.9
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
183.6
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
180.9
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
176.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
175.6
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
175.2
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
174.9
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
174.4
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
174.4
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
171.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
170.8
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
170.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
170.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
168.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
167.3
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
167.2
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
167.1
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
166.9
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
166.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
166.4
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
166.4
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
166.2
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
166.1
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
164.9
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
164.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
164.8
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
163.8
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
163.8
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
163.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
163.4
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
162.3
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
161.9
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
161.9
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
160.9
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
160.6
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
160.4
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
160.4
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
160.3
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
160.0
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
159.6
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
159.2
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
157.8
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
157.3
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
156.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
155.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
155.2
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
155.1
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
155.0
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
154.9
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
154.9
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
154.2
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
154.2
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
154.2
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
153.8
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
153.5
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
153.4
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
153.4
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
153.3
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
153.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
152.8
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
152.5
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
152.2
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
151.7
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
151.5
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
151.4
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
150.5
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
150.3
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
150.0
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
149.8
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
149.0
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
148.9
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
148.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
147.1
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
146.1
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
145.7
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
145.6
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
144.7
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
143.0
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
143.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
142.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
141.9
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
141.9
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
141.8
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
141.4
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
141.3
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
141.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
140.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
140.8
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
140.4
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
140.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
139.0
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
138.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
138.8
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
138.4
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
138.1
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
138.0
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
137.2
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
135.0
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
134.9
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
134.6
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
134.5
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
134.5
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
134.5
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
134.4
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
133.1
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
132.6
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
132.5
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
132.4
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
132.3
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
131.9
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
131.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
131.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
130.7
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
130.4
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
129.6
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
129.2
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
127.9
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
127.8
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
127.6
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
127.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
127.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
127.2
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
126.3
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
125.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
125.6
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
125.4
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
125.3
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
125.3
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
125.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
125.1
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
124.6
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
124.6
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
124.5
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
124.5
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
124.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
122.7
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
122.4
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
122.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
121.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
121.8
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
121.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
121.3
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
120.7
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
120.2
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
119.8
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
119.4
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
119.3
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
119.2
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
119.0
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
118.1
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
118.0
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
118.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
117.8
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
117.8
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
117.7
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
117.7
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
117.6
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
117.6
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
117.4
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
116.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
116.2
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
116.1
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
116.0
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
115.5
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
115.3
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
115.0
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
114.5
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
114.3
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
114.0
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
113.7
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
113.0
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
113.0
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
112.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
111.9
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
111.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
111.0
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
111.0
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
111.0
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
110.8
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
110.5
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
110.4
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
110.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
110.3
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
110.1
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
110.1
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
109.8
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
109.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
109.7
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
108.5
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
108.5
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
108.2
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
108.1
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
108.1
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
107.9
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
107.8
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
106.9
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
106.6
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
106.2
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
105.9
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
105.9
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
105.8
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
105.5
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
105.5
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
105.4
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
105.4
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
105.3
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
105.1
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
104.9
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
104.2
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
103.8
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
103.8
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
103.6
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
103.2
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
103.1
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
102.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
102.5
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
102.2
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
102.0
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
101.7
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
100.8
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
100.8
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
100.6
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
100.6
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
100.5
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
100.4
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
100.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
99.9
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
99.9
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
99.9
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
99.6
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
99.2
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
99.1
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
98.9
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
98.9
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
98.8
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
98.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
98.1
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
98.0
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
97.9
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
97.8
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
97.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
97.1
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
96.4
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
96.4
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
96.4
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
96.2
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
96.2
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
96.0
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
95.8
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
95.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
95.3
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
95.2
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
94.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
94.4
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
94.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
93.9
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
93.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
93.4
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
93.1
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
92.9
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
92.9
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
92.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
92.8
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
92.5
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
91.8
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
91.5
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
91.4
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
90.9
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
90.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
89.6
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
89.2
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
89.2
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
89.0
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
88.4
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
88.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
88.3
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
88.1
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
87.8
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
87.5
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
87.2
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
86.9
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
86.7
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
86.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
86.4
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
85.9
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
85.9
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
85.8
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
85.6
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
85.5
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
85.0
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
84.6
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
84.5
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
84.4
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
84.4
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
84.1
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
84.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
84.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
84.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
83.7
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
83.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
83.6
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
83.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
83.3
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
83.2
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
83.2
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
83.1
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
83.0
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
82.7
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
82.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
81.9
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
81.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
81.1
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
80.9
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
80.8
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
80.7
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
80.5
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
80.5
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
80.5
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
80.3
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
79.9
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
79.8
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
79.8
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
79.6
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
79.5
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
79.3
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
79.2
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
79.1
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
79.1
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
78.7
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
78.5
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
78.3
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
78.1
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
78.0
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
77.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
76.4
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
75.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
75.7
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
75.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
75.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
75.4
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
75.4
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
75.2
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
74.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
74.5
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
73.6
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
73.1
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
73.1
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
73.1
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
73.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
73.0
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
72.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
72.4
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
72.1
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
71.4
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
71.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
70.8
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
70.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
70.5
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
70.5
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
70.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
70.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
70.2
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
69.5
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
68.7
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
67.8
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
67.6
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
67.4
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
66.6
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
66.6
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
66.3
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
66.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
66.0
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
65.7
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
65.2
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
65.1
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
65.0
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
65.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
64.5
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
63.8
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
63.7
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
63.5
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
62.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
62.6
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
62.6
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
62.5
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
62.5
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
62.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
62.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
62.0
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
61.6
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
61.0
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
60.9
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
60.5
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
60.2
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
59.9
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
59.6
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
57.5
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
57.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
57.4
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
57.0
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
56.9
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
56.8
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
56.8
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
56.7
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
56.1
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
56.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
55.9
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
55.7
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
55.5
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
55.3
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
54.7
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
54.5
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
54.1
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
54.1
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
53.8
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
53.7
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
52.9
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
52.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
52.2
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
52.1
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
51.8
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
50.0
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
49.2
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
48.6
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
47.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
47.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
47.2
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
47.0
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
46.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
46.3
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
45.8
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
45.1
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
45.0
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
44.6
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
43.3
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
39.8
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
39.5
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
36.8
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
36.8
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
35.2
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
34.1
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
33.7
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
30.8
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
29.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
21.6
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.7
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.
MYADM 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
58.4
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
208.2
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
196.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
139.3
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
138.8
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
130.1
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
117.0
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
107.5
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
106.2
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
103.8
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
102.3
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
99.1
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
98.2
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
91.9
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
90.5
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
86.8
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
82.4
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
82.3
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
81.4
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
80.6
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
79.0
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
76.5
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
69.2
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
68.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
68.7
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
67.6
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
67.4
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
62.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
61.6
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
61.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
60.2
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
59.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
59.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
59.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
59.5
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
59.3
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
59.2
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
58.1
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
58.0
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
56.7
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
56.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
55.0
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
54.7
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
53.5
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
53.2
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
52.4
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
52.2
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
51.9
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
51.1
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
48.6
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
48.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
47.5
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
46.8
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
46.7
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
43.8
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
43.4
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
42.7
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
42.1
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
41.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
40.8
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
39.9
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
39.0
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
38.7
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
37.2
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
37.0
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
35.7
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
34.6
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
33.8
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
33.5
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
32.4
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
30.9
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
28.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
28.1
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
28.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
27.4
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
27.0
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
25.5
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
24.7
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
23.4
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
20.2
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
18.2
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
18.1
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
17.6
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
16.8
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
15.2
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
14.7
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
14.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
11.6
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.
MYADM 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
105.0
Number of samples
207
Samples
Sample
Description
TPM
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
402.1
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
299.0
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
252.3
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
239.4
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
223.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
222.4
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
215.9
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
215.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
214.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
210.2
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
202.3
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
198.8
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
194.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
191.6
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
187.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
182.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
181.8
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
172.3
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
171.8
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
170.7
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
169.7
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
168.3
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
168.2
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
162.7
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
160.6
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
160.3
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
157.3
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
156.1
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
152.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
152.5
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
150.2
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
149.2
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
148.6
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
144.8
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
144.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
144.1
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
143.8
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
143.0
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
142.8
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
142.7
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
141.0
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
139.9
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
137.1
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
136.8
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
134.8
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
130.0
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
129.4
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
128.1
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
127.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
127.4
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
126.8
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
125.5
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
122.5
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
121.9
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
121.6
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
120.6
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
119.7
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
119.3
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
119.0
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
119.0
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
118.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
118.0
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
117.7
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
117.4
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
117.2
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
117.2
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
117.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
115.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
115.3
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
114.1
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
113.4
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
113.0
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
112.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
111.4
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
110.8
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
110.6
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
110.1
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
106.8
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
104.7
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
104.6
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
104.2
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
104.1
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
104.1
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
103.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
102.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
101.7
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
101.6
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
101.2
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
100.0
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
98.8
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
98.2
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
97.9
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
97.5
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
97.3
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
97.1
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
96.6
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
96.6
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
96.6
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
96.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
96.0
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
95.6
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
95.4
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
94.6
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
93.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
93.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
92.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
92.2
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
92.2
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
91.9
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
91.9
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
91.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
91.4
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
90.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
89.9
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
89.6
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
89.2
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
88.9
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
88.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
88.0
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
87.9
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
87.5
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
86.5
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
85.9
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
85.1
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
84.3
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
83.8
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
83.7
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
83.3
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
82.3
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
80.5
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
80.4
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
79.8
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
79.4
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
79.3
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
79.2
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
78.8
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
77.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
77.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
77.0
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
76.1
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
75.9
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
75.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
75.6
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
75.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
74.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
74.7
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
74.5
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
74.2
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
74.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
74.0
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
73.4
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
72.9
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
72.7
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
72.5
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
71.7
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
71.6
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
71.2
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
71.2
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
69.7
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
69.7
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
69.0
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
68.7
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
68.5
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
68.4
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
67.9
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
66.9
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
66.9
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
66.1
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
65.9
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
65.6
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
65.0
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
62.8
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
62.5
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
61.3
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
61.1
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
60.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
60.2
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
60.2
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
60.0
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
59.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
59.0
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
58.8
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
58.5
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
58.2
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
57.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
57.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
57.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
56.0
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
54.5
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
54.2
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
53.6
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
51.7
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
51.1
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
49.6
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
47.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
47.0
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
46.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
45.9
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
45.8
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
43.7
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
43.1
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
42.5
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
42.3
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
40.1
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
35.4
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
30.4
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
26.1
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
2666323d-522f-4f0a-823c-ff8866_D2
Normal
1.8
da747cee-5026-4923-af63-ad9f81_D2
Normal
1.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
1.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
1.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
1.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
1.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
1.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
1.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
1.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
1.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
1.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
1.0
02cde0c0-6840-495b-9b11-007d82_D2
Normal
1.0
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
1.0
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
1.0
41a04113-2061-4923-bca5-da586c_D2
Normal
1.0
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.9
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.9
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.9
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.9
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.9
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.9
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.9
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.9
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.9
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.9
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.8
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.8
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.8
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.8
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.8
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.8
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.8
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.7
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.7
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.7
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.7
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.7
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.7
b2400046-1d25-429d-a821-6040a6
Tumor
0.7
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.7
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.6
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.6
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.6
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.6
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.6
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.6
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.6
1c070992-647b-4173-a481-904c4d_D2
Normal
0.6
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.6
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.6
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.5
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.5
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.5
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.5
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.5
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.5
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.5
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.5
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.5
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.5
82157a70-12f1-4913-b548-d98881_D2
Normal
0.4
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.4
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.4
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.4
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.4
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.4
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.4
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.4
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.4
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.4
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.3
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.0
963fc8db-f412-4427-a198-23f660_D2
Normal
0.0
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.0
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.3
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.3
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.3
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.3
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.3
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.4
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.4
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.4
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.4
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.4
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.4
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.4
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.4
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.4
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.4
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.4
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.4
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.4
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.4
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.5
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.5
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.5
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.5
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.5
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.5
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.5
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.6
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.6
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.6
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.6
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.6
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.6
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.7
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.7
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.7
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.7
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.7
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.8
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.8
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.8
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.8
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.8
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.8
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.8
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.8
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.9
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.9
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.9
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.9
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.9
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.9
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.9
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.9
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-1.0
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-1.0
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-1.0
43192517-085e-450e-9481-0a6713_D3
Tumor
-1.0
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-1.0
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-1.0
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-1.5
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.
The Human Protein Atlas project is funded
