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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.
FMOD 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
30.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
243.5
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
198.0
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
196.9
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
153.6
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
124.8
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
116.7
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
101.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
94.5
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
90.2
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
89.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
88.6
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
88.0
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
86.5
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
84.3
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
83.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
82.6
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
80.0
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
79.8
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
77.5
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
74.3
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
72.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
70.5
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
70.3
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
68.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
66.4
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
65.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
64.0
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
62.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
60.8
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
60.3
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
58.8
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
58.8
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
57.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
57.4
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
56.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
54.6
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
54.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
53.7
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
51.6
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
50.4
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
50.2
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
49.0
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
49.0
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
48.9
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
48.4
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
47.1
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
45.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
45.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
45.6
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
45.3
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
45.0
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
44.7
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
44.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
44.4
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
43.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
43.7
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
43.5
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
43.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
43.1
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
43.1
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
42.8
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
41.3
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
40.7
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
40.3
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
39.9
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
38.9
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
37.5
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
37.0
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
36.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
36.4
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
35.2
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
35.1
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
34.6
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
34.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
34.2
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
34.1
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
33.8
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
33.5
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
33.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
33.4
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
32.9
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
32.8
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
32.7
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
32.6
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
32.4
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
32.4
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
32.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
31.7
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
31.4
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
31.1
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
31.0
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
30.7
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
30.2
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
30.1
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
30.0
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
29.3
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
29.3
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
29.2
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
28.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
28.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
28.2
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
28.1
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
28.1
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
27.5
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
27.1
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
27.0
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
26.9
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
26.7
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
26.3
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
25.9
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
25.6
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
25.6
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
25.0
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
24.9
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
24.6
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
24.3
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
24.2
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
23.7
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
23.4
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
23.0
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
23.0
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
23.0
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
22.9
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
22.9
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
22.8
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
22.5
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
22.5
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
22.0
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
21.7
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
21.6
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
21.6
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
21.6
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
21.2
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
21.0
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
20.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
20.6
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
20.2
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
20.0
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
19.5
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
18.8
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
18.7
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
18.5
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
18.5
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
18.4
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
18.3
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
18.1
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
18.1
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
18.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
17.7
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
17.6
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
17.5
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
17.2
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
17.0
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
17.0
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
16.6
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
16.5
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
16.3
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
16.1
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
16.1
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
16.1
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
16.0
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
15.9
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
15.7
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
15.7
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
15.6
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
15.5
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
15.2
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
15.2
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
15.0
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
14.8
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
13.8
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
13.8
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
13.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
13.7
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
13.6
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
13.4
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
13.2
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
13.0
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
12.9
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
12.8
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
12.7
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
12.5
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
12.5
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
12.0
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
11.9
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
11.7
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
11.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
11.5
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
11.4
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
11.0
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
11.0
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
10.7
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
10.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
10.3
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
10.1
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
10.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
10.0
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
9.9
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
9.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
9.8
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
9.6
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
9.6
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
9.5
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
9.5
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
9.3
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
9.2
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
8.6
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
8.2
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
8.1
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
8.0
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
7.8
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
7.5
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
7.4
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
7.1
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
7.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
7.0
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
6.7
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
6.6
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
6.6
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
6.5
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
6.5
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
6.5
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
6.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
6.4
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
6.0
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
6.0
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
5.3
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
5.2
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
5.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
4.9
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
4.7
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
4.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
4.6
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
4.5
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
4.4
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
4.3
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
4.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
4.0
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
4.0
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
3.8
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
3.7
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
3.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
3.4
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
3.2
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
3.0
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
3.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
2.7
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
2.4
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
2.4
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
1.9
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
1.5
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
1.4
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
1.0
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 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.
FMOD 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
47.3
Number of samples
486
Samples
Sample
Description
TPM
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
367.9
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
206.7
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
192.3
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
188.5
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
170.0
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
161.0
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
159.4
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
155.0
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
143.1
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
139.8
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
129.4
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
129.4
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
128.4
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
122.1
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
121.8
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
111.6
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
108.1
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
107.8
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
105.8
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
104.5
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
102.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
101.4
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
100.1
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
100.0
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
98.4
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
96.6
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
95.9
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
95.7
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
94.5
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
94.1
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
92.7
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
91.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
91.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
90.0
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
89.3
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
86.9
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
86.0
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
85.1
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
84.4
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
83.6
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
82.9
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
82.4
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
81.4
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
81.1
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
81.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
80.7
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
79.6
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
79.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
79.2
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
77.4
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
76.8
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
76.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
75.7
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
75.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
74.9
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
74.6
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
74.1
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
74.1
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
74.0
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
73.6
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
73.2
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
72.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
72.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
71.8
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
71.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
71.0
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
71.0
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
70.9
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
70.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
70.6
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
70.4
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
69.9
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
69.5
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
69.2
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
68.6
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
68.5
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
67.8
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
67.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
67.4
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
67.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
66.9
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
66.9
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
66.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
66.8
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
66.6
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
66.5
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
66.3
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
66.2
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
65.9
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
65.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
65.5
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
65.5
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
64.6
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
64.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
64.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
64.4
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
63.7
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
63.7
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
63.6
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
63.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
63.1
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
63.0
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
63.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
62.4
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
62.1
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
62.1
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
62.0
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
61.9
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
61.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
61.4
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
61.0
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
60.7
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
60.5
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
60.4
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
60.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
59.8
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
59.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
59.7
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
59.4
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
59.2
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
59.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
59.1
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
59.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
58.7
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
58.5
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
58.5
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
58.4
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
58.4
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
58.3
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
58.3
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
58.2
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
58.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
57.8
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
57.8
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
57.7
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
57.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
57.3
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
57.1
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
56.7
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
56.2
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
56.0
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
56.0
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
56.0
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
55.8
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
55.5
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
55.3
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
55.2
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
55.2
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
55.0
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
54.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
54.5
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
54.5
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
54.5
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
54.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
54.3
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
54.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
54.1
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
54.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
53.7
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
53.6
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
53.5
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
53.4
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
53.4
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
53.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
52.8
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
52.7
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
52.5
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
52.3
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
52.0
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
51.8
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
51.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
51.6
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
51.5
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
51.4
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
51.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
51.1
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
51.1
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
50.9
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
50.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
50.8
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
50.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
50.6
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
50.5
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
50.5
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
50.2
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
50.1
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
49.7
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
49.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
49.6
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
49.4
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
49.4
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
49.3
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
49.2
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
48.9
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
48.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
48.8
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
48.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
48.6
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
48.4
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
47.9
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
47.9
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
47.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
47.6
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
47.6
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
47.6
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
47.4
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
47.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
47.3
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
47.0
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
46.8
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
46.7
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
46.7
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
46.7
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
46.7
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
46.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
46.5
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
46.5
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
46.3
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
45.8
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
45.5
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
45.4
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
45.4
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
45.1
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
45.0
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
44.9
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
44.5
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
44.1
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
44.0
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
43.8
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
43.8
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
43.5
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
43.5
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
43.4
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
43.3
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
42.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
42.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
42.6
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
42.4
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
42.4
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
42.3
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
42.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
42.2
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
41.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
41.8
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
41.6
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
41.4
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
41.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
41.0
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
40.9
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
40.6
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
40.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
40.3
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
40.1
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
40.1
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
39.8
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
39.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
39.7
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
39.7
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
39.7
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
39.6
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
39.5
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
39.5
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
39.3
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
39.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
38.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
38.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
38.5
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
38.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
38.3
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
38.2
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
38.1
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
38.1
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
38.0
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
37.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
37.7
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
37.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
37.6
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
37.4
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
37.3
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
37.1
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
37.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
37.0
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
36.7
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
36.5
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
36.4
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
36.3
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
36.2
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
36.1
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
35.9
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
35.1
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
35.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
35.0
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
34.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
34.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
34.7
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
34.6
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
34.6
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
34.6
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
34.6
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
34.6
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
34.4
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
34.3
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
34.3
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
34.2
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
34.2
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
34.1
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
34.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
33.9
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
33.9
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
33.7
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
33.7
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
33.5
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
33.3
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
33.1
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
33.1
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
33.0
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
32.9
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
32.9
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
32.9
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
32.6
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
32.5
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
32.1
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
31.9
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
31.8
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
31.8
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
31.6
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
31.6
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
31.3
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
31.1
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
31.1
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
31.0
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
30.9
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
30.8
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
30.8
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
30.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
30.7
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
30.5
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
30.2
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
29.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
29.7
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
29.5
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
29.5
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
29.4
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
29.4
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
29.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
29.0
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
28.9
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
28.8
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
28.7
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
28.6
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
28.6
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
28.6
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
28.5
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
28.5
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
28.2
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
28.1
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
28.1
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
27.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
27.9
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
27.6
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
27.4
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
27.4
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
27.1
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
26.9
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
26.9
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
26.7
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
26.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
26.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
26.5
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
26.5
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
26.4
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
26.3
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
26.3
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
26.2
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
25.9
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
25.8
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
25.8
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
25.8
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
25.8
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
25.7
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
25.7
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
25.6
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
25.6
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
25.2
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
25.2
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
25.2
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
25.2
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
25.2
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
25.0
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
25.0
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
24.8
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
24.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
24.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
24.1
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
23.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
23.6
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
23.5
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
23.4
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
23.4
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
23.1
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
23.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
23.0
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
22.9
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
22.6
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
22.3
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
22.3
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
22.2
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
21.9
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
21.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
21.5
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
21.4
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
21.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
20.7
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
20.5
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
20.3
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
20.2
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
20.1
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
20.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
19.9
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
19.8
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
19.2
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
18.9
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
18.9
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
18.9
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
18.8
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
18.8
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
18.7
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
18.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
18.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
18.5
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
17.9
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
17.6
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
17.3
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
17.1
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
16.9
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
16.5
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
16.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
16.4
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
16.3
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
16.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
15.8
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
15.8
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
15.7
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
15.6
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
15.5
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
15.5
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
15.4
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
15.3
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
15.3
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
15.2
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
14.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
14.9
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
14.6
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
14.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
14.4
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
14.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
14.0
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
13.7
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
13.4
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
13.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
13.3
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
13.0
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
12.9
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
12.5
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
12.4
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
12.4
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
12.0
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
11.5
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
11.4
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
11.3
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
10.6
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
10.2
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
10.1
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
9.8
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
9.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
9.2
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
8.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
8.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
8.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
7.9
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
7.9
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
7.2
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
2.9
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
2.0
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
0.4
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.
FMOD 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
34.1
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
156.3
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
129.2
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
121.0
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
118.9
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
98.3
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
85.4
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
82.5
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
82.2
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
76.9
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
73.7
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
66.1
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
64.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
63.7
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
62.0
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
61.5
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
60.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
59.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
55.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
53.7
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
49.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
46.9
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
43.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
42.4
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
42.4
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
41.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
40.3
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
39.6
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
38.4
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
36.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
36.2
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
36.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
33.9
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
32.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
31.3
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
30.6
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
30.5
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
29.8
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
28.5
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
25.3
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
24.2
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
24.1
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
24.0
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
22.8
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
21.7
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
21.6
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
21.0
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
20.7
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
19.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
19.2
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
19.0
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
18.8
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
18.3
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
17.8
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
17.6
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
17.5
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
17.3
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
17.2
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
17.0
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
16.9
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
16.4
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
16.3
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
15.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
14.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
14.5
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
14.3
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
14.3
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
14.3
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
13.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
12.9
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
12.8
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
12.7
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
12.1
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
11.8
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
11.0
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
10.8
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
10.8
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
10.7
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
9.8
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
9.1
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
6.7
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
5.9
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
5.9
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
5.8
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
5.6
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
5.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
5.1
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
2.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 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.
FMOD is not prognostic in Rectum Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
48.5
Number of samples
207
Samples
Sample
Description
TPM
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
178.2
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
172.6
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
166.6
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
161.3
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
155.1
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
145.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
121.2
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
119.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
105.5
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
104.7
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
102.4
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
99.4
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
99.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
98.1
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
97.1
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
95.5
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
93.8
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
86.7
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
86.2
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
85.8
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
85.1
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
84.6
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
82.1
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
81.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
80.9
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
78.5
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
78.5
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
78.2
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
77.6
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
76.5
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
76.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
75.7
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
75.4
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
74.7
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
72.7
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
72.0
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
71.8
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
71.7
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
69.9
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
68.7
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
67.0
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
66.1
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
66.1
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
65.2
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
63.5
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
63.4
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
62.9
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
62.8
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
62.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
62.1
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
62.0
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
61.3
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
60.8
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
60.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
60.1
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
59.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
58.7
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
58.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
58.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
58.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
58.0
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
57.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
56.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
56.5
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
55.8
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
54.9
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
54.6
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
54.0
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
54.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
53.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
53.3
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
52.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
51.9
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
51.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
51.2
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
51.0
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
49.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
49.8
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
49.8
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
49.2
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
49.1
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
49.1
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
48.6
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
48.2
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
48.2
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
47.6
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
47.4
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
47.4
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
47.0
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
46.7
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
46.2
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
46.0
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
45.6
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
44.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
44.5
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
44.4
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
43.9
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
43.8
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
43.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
43.3
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
42.8
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
42.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
42.3
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
42.0
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
41.6
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
41.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
41.1
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
40.9
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
40.8
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
40.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
40.6
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
40.1
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
39.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
39.2
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
38.9
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
38.7
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
38.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
38.3
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
38.3
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
37.7
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
36.8
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
36.7
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
36.6
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
36.2
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
36.2
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
36.0
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
36.0
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
35.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
35.9
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
35.6
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
35.6
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
35.4
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
35.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
35.0
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
34.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
34.1
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
33.3
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
33.2
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
33.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
33.1
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
32.9
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
32.7
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
31.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
30.9
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
30.8
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
30.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
30.7
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
30.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
29.1
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
29.0
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
28.6
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
28.4
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
28.3
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
28.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
27.8
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
27.4
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
27.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
26.7
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
26.5
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
26.4
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
26.0
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
25.9
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
25.4
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
25.1
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
24.9
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
24.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
23.7
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
23.3
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
23.1
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
23.0
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
22.8
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
22.5
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
22.2
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
21.7
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
21.6
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
21.4
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
20.6
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
20.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
19.8
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
18.3
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
18.0
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
17.5
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
17.4
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
17.2
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
17.1
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
16.6
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
16.5
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
15.7
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
15.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
14.6
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
14.0
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
13.9
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
13.4
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
13.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
13.0
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
12.8
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
12.7
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
12.4
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
12.1
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
12.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
11.7
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
11.2
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
10.5
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
9.6
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
8.8
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
5.6
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
5.1
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
16ac8458-5200-4302-9ad0-b311df_D2
Normal
1.4
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
1.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
1.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
1.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
1.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
1.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.9
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.9
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.9
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.9
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.9
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.8
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.8
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.8
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.7
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.7
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.7
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.7
1c070992-647b-4173-a481-904c4d_D2
Normal
0.7
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.7
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.6
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.6
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.6
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.6
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.6
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.6
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.6
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.5
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.5
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.5
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.5
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.5
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.5
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.5
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.5
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.5
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.4
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.4
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.4
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.4
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.4
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.4
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.4
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.4
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.4
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.3
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.3
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.0
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.0
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.0
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.0
b2400046-1d25-429d-a821-6040a6
Tumor
0.0
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.0
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.0
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.0
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.0
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.0
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.0
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.0
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.0
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.3
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.4
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.4
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.4
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.4
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.4
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.4
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.4
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.4
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.4
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.4
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.4
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.4
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.4
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.5
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.5
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.5
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.5
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.5
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.5
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.5
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.5
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.5
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.6
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.6
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.6
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.7
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.7
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.7
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.7
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.7
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.7
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.7
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.7
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.7
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.8
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.8
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.8
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.8
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.8
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.9
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.9
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.9
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-1.0
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-1.0
8cc7e656-0152-4359-8566-0581c3
Tumor
-1.0
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-1.0
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-1.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-1.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-1.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-1.2
43192517-085e-450e-9481-0a6713_D3
Tumor
-1.4
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
