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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.
MMP12 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
46.0
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
811.2
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
691.4
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
475.6
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
294.6
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
265.3
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
263.6
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
220.5
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
205.0
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
175.5
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
169.1
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
158.3
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
145.9
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
143.0
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
137.3
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
133.3
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
133.3
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
130.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
123.1
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
119.4
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
113.5
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
112.0
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
108.8
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
107.6
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
107.3
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
104.5
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
103.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
101.8
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
95.6
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
90.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
90.4
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
87.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
86.9
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
86.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
86.4
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
86.1
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
83.5
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
83.3
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
81.5
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
79.4
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
78.5
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
78.4
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
78.2
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
77.5
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
74.8
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
74.5
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
73.3
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
71.6
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
69.0
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
68.7
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
68.5
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
67.7
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
67.4
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
67.4
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
67.2
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
67.2
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
66.9
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
66.0
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
62.1
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
62.1
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
58.7
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
54.7
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
54.0
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
51.6
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
50.2
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
49.9
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
49.9
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
49.7
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
49.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
49.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
47.9
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
47.8
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
47.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
47.7
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
46.7
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
46.6
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
46.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
45.6
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
45.5
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
45.0
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
44.2
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
44.0
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
43.7
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
43.6
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
42.7
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
42.4
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
40.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
38.9
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
38.6
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
38.2
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
37.5
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
37.2
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
37.0
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
36.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
36.4
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
36.2
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
33.7
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
33.3
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
32.9
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
32.9
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
32.7
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
31.9
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
31.2
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
31.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
31.0
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
30.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
29.6
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
28.6
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
28.6
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
27.3
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
26.7
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
26.2
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
25.8
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
25.7
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
25.7
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
25.5
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
25.2
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
25.1
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
24.4
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
23.9
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
23.7
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
23.6
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
23.3
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
21.4
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
21.0
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
20.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
20.4
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
20.0
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
19.8
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
19.7
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
19.5
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
19.4
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
19.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
19.4
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
19.2
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
18.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
18.9
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
18.8
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
18.5
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
18.5
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
18.3
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
18.2
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
18.2
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
18.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
17.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
17.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
17.5
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
17.4
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
17.3
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
16.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
16.3
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
16.3
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
16.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
16.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
16.0
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
14.6
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
14.6
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
14.1
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
14.0
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
13.8
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
13.6
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
13.4
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
13.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
13.2
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
13.1
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
13.1
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
12.5
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
12.3
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
12.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
11.5
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
11.5
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
11.1
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
10.7
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
10.6
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
10.3
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
10.1
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
9.8
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
9.8
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
9.5
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
9.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
9.3
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
9.1
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
8.9
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
8.7
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
8.5
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
8.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
7.8
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
7.1
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
7.1
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
7.0
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
6.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
6.5
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
6.2
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
6.2
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
6.0
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
5.9
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
5.9
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
5.8
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
5.8
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
5.7
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
5.7
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
5.5
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
5.3
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
5.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
5.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
5.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
5.0
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
4.9
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
4.8
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
4.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
4.7
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
4.6
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
4.6
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
4.5
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
4.5
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
4.4
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
4.2
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
4.1
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
4.1
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
4.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
4.0
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
4.0
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
3.6
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
3.5
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
3.3
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
3.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
3.2
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
3.1
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
3.1
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
3.1
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
3.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
3.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
3.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
3.0
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
2.8
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
2.6
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
2.4
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
2.3
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
2.3
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
2.3
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
2.2
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
2.1
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
1.7
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
1.3
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
1.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
1.1
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
1.0
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
0.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
0.8
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
0.7
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
0.7
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
0.7
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
0.6
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
0.6
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 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.
MMP12 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
119.4
Number of samples
486
Samples
Sample
Description
TPM
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
1028.5
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
661.7
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
609.9
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
606.1
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
589.5
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
555.4
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
518.1
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
510.7
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
494.5
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
471.0
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
444.2
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
437.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
409.3
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
408.1
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
404.0
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
400.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
395.9
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
390.9
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
388.1
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
387.9
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
386.8
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
381.7
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
375.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
371.6
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
344.8
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
337.9
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
336.0
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
329.6
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
323.4
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
320.0
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
319.7
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
308.7
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
302.4
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
297.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
284.7
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
277.9
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
274.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
273.2
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
269.4
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
266.8
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
266.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
265.5
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
263.3
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
262.7
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
262.3
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
256.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
255.2
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
253.3
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
252.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
252.2
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
251.2
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
249.2
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
247.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
245.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
245.8
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
242.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
242.4
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
239.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
233.9
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
227.7
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
226.7
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
226.6
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
226.4
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
226.1
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
225.0
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
218.9
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
216.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
216.4
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
215.2
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
212.9
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
212.7
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
209.7
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
208.8
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
205.1
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
203.0
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
202.7
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
202.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
202.5
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
201.8
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
200.5
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
200.2
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
199.9
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
199.1
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
194.3
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
192.1
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
192.0
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
191.4
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
188.7
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
185.3
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
185.2
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
184.7
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
184.0
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
182.7
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
179.0
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
175.3
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
173.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
173.4
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
168.8
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
167.6
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
166.8
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
166.5
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
165.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
165.5
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
165.1
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
164.9
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
164.6
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
162.7
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
161.9
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
161.1
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
160.4
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
159.3
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
159.0
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
158.2
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
158.0
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
152.9
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
152.6
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
152.1
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
152.1
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
151.6
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
151.1
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
150.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
146.8
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
146.7
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
146.2
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
144.9
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
144.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
144.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
143.2
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
142.9
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
142.4
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
142.4
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
141.9
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
141.6
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
141.0
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
139.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
139.8
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
139.3
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
138.3
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
138.2
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
137.9
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
137.4
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
136.4
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
136.3
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
135.5
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
134.9
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
134.0
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
132.7
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
132.1
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
131.3
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
130.9
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
130.7
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
129.6
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
129.1
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
129.0
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
126.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
126.4
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
125.7
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
125.1
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
124.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
123.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
123.7
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
122.9
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
122.2
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
122.0
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
121.5
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
121.5
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
121.1
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
120.1
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
120.1
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
117.9
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
117.6
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
116.6
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
115.3
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
114.6
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
114.2
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
114.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
114.1
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
113.8
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
113.5
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
113.3
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
113.3
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
113.2
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
112.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
111.8
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
111.5
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
110.8
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
109.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
108.9
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
108.0
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
106.6
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
105.2
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
104.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
103.2
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
103.0
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
102.7
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
101.6
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
99.7
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
99.4
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
99.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
99.1
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
98.4
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
98.1
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
97.7
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
97.5
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
97.2
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
96.5
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
96.1
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
96.0
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
94.5
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
94.4
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
94.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
94.2
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
94.0
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
94.0
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
93.8
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
92.9
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
92.6
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
92.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
91.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
91.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
91.5
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
91.5
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
90.6
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
90.5
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
90.4
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
90.2
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
90.2
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
89.9
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
89.9
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
89.7
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
89.6
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
89.4
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
88.9
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
88.7
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
88.5
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
87.6
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
87.5
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
86.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
86.2
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
86.1
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
85.5
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
85.3
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
85.2
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
85.0
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
84.3
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
84.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
83.4
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
82.9
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
82.6
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
82.3
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
82.1
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
82.1
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
80.9
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
80.2
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
80.1
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
80.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
79.5
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
79.2
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
79.2
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
79.1
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
78.7
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
78.5
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
78.2
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
78.1
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
77.9
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
77.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
76.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
76.8
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
76.5
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
76.4
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
76.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
76.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
76.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
76.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
75.4
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
74.9
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
74.4
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
73.5
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
72.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
72.4
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
72.0
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
71.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
71.7
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
71.3
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
71.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
70.9
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
70.8
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
70.2
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
69.4
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
69.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
69.0
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
68.5
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
68.5
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
68.3
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
68.1
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
68.0
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
67.9
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
67.1
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
66.4
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
66.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
66.0
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
65.3
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
64.7
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
64.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
64.1
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
63.9
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
63.6
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
63.2
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
63.1
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
63.1
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
63.0
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
63.0
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
62.7
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
62.5
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
62.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
62.4
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
62.2
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
61.6
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
61.5
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
61.4
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
60.4
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
60.3
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
60.3
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
59.9
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
59.4
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
58.8
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
58.8
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
58.4
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
58.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
57.5
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
57.5
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
57.3
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
57.0
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
57.0
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
56.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
56.7
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
56.0
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
56.0
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
55.5
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
55.5
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
55.4
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
55.1
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
54.9
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
54.8
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
54.6
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
54.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
54.4
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
54.0
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
53.8
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
53.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
52.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
52.8
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
52.7
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
51.9
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
51.8
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
51.6
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
51.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
49.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
49.5
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
49.1
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
49.1
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
48.8
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
48.2
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
47.9
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
47.7
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
47.6
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
47.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
46.9
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
46.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
46.2
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
46.0
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
45.9
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
45.9
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
45.9
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
45.8
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
45.8
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
44.9
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
44.5
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
44.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
43.9
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
43.7
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
43.6
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
43.6
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
43.5
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
43.3
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
42.8
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
42.8
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
42.5
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
42.4
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
42.2
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
40.7
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
40.1
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
39.7
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
39.7
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
38.6
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
37.9
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
37.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
37.1
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
37.0
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
37.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
36.1
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
36.0
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
36.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
35.9
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
35.9
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
35.7
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
35.4
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
35.1
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
35.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
34.2
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
33.8
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
33.6
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
33.6
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
33.6
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
33.5
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
32.8
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
32.7
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
32.7
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
32.2
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
31.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
31.6
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
31.4
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
31.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
30.9
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
30.7
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
30.5
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
30.2
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
30.2
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
30.2
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
30.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
29.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
29.5
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
29.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
28.8
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
28.4
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
28.2
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
27.8
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
27.7
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
27.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
25.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
25.8
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
25.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
25.1
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
24.4
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
24.4
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
24.3
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
24.3
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
23.3
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
23.2
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
23.0
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
22.9
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
22.2
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
21.6
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
20.5
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
20.4
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
19.6
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
18.8
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
18.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
18.3
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
17.9
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
17.4
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
17.4
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
17.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
16.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
16.3
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
16.3
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
16.0
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
14.6
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
14.5
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
14.4
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
13.0
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
12.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
12.2
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
12.2
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
11.4
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
10.4
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
9.9
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
8.6
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
8.4
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
7.8
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
7.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
6.1
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
5.5
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
4.0
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
3.6
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.
MMP12 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
42.1
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
383.5
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
206.1
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
199.3
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
191.1
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
184.6
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
175.0
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
107.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
103.1
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
99.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
90.7
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
80.3
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
75.2
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
72.4
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
69.3
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
67.9
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
65.2
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
64.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
62.5
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
57.3
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
56.4
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
55.5
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
53.2
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
52.7
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
52.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
51.2
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
50.6
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
44.0
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
38.7
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
37.9
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
34.1
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
32.0
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
31.3
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
29.7
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
27.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
25.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
25.7
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
24.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
24.7
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
24.4
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
24.4
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
23.4
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
23.2
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
23.0
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
22.9
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
22.8
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
22.7
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
22.4
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
21.3
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
20.4
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
18.9
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
18.7
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
18.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
16.4
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
16.3
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
16.2
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
15.9
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
15.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
14.3
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
13.6
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
13.5
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
12.7
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
12.4
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
11.1
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
10.8
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
10.5
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
10.5
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
10.1
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
9.5
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
9.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
8.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
8.2
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
7.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
7.7
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
7.3
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
6.8
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
5.7
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
5.3
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
4.9
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
4.4
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
3.8
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
2.6
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
2.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
2.1
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
1.6
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
1.0
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
0.6
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 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.
MMP12 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
86.7
Number of samples
207
Samples
Sample
Description
TPM
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
402.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
263.8
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
230.4
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
226.5
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
219.7
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
219.1
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
216.7
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
212.6
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
201.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
192.6
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
188.1
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
179.5
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
173.5
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
173.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
172.7
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
171.7
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
169.8
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
168.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
163.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
150.4
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
148.8
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
148.2
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
147.5
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
146.7
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
139.1
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
135.5
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
135.2
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
134.8
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
129.9
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
128.9
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
125.0
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
124.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
123.9
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
123.8
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
123.3
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
123.1
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
121.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
120.3
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
119.6
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
119.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
119.1
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
118.2
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
118.2
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
117.7
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
117.5
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
117.4
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
117.4
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
117.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
116.1
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
115.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
114.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
113.2
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
111.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
111.2
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
111.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
110.9
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
110.2
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
109.6
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
109.5
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
109.4
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
109.0
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
108.6
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
107.0
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
106.5
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
104.8
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
104.6
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
103.0
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
101.1
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
99.6
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
99.5
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
98.4
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
97.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
97.0
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
96.7
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
95.2
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
94.6
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
94.3
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
93.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
93.2
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
93.0
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
91.9
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
91.7
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
91.1
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
90.8
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
90.7
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
90.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
90.3
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
88.0
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
87.8
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
87.4
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
87.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
87.0
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
86.9
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
86.3
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
86.1
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
83.3
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
82.9
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
81.7
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
81.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
81.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
79.9
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
79.9
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
79.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
78.3
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
78.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
77.7
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
76.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
74.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
74.3
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
73.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
73.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
72.7
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
71.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
71.6
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
71.4
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
71.1
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
70.8
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
70.6
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
70.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
69.2
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
69.2
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
68.6
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
66.8
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
66.7
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
66.5
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
66.3
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
66.0
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
65.6
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
65.5
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
65.5
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
65.4
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
65.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
64.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
62.7
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
62.3
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
61.3
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
60.6
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
60.4
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
59.4
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
59.4
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
58.4
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
56.6
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
55.4
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
54.3
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
53.5
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
53.3
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
53.1
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
51.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
51.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
50.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
50.1
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
50.0
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
49.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
49.5
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
49.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
48.7
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
48.3
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
47.3
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
46.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
46.4
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
46.4
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
45.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
45.1
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
44.3
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
44.0
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
43.7
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
42.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
41.6
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
40.9
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
39.5
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
39.3
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
39.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
39.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
38.9
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
38.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
38.3
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
38.2
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
37.8
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
36.7
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
35.5
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
35.2
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
34.2
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
33.9
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
33.2
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
31.1
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
30.9
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
28.5
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
27.3
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
25.6
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
24.8
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
24.6
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
24.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
24.1
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
23.1
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
23.0
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
22.4
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
20.9
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
19.3
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
18.3
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
18.1
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
16.2
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
15.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
15.2
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
13.5
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
11.3
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
7.6
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
7.5
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
2.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
1.8
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
1.7
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
1.5
16ac8458-5200-4302-9ad0-b311df_D2
Normal
1.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
1.4
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
1.3
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
1.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
1.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
1.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
1.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
1.0
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.9
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.9
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.8
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.8
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.7
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.7
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.7
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.7
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.6
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.6
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.6
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.6
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.6
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.6
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.6
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.5
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.5
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.5
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.5
b2400046-1d25-429d-a821-6040a6
Tumor
0.5
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.5
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.5
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.5
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.4
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.4
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.4
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.4
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.3
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.0
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.0
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.0
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.0
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.0
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.0
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.0
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.0
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.3
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.3
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.3
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.4
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.4
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.4
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.4
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.4
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.4
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.4
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.4
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.4
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.4
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.4
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.4
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.4
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.5
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.5
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.5
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.5
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.5
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.5
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.5
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.5
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.5
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.5
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.5
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.6
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.6
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.6
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.6
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.6
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.6
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.6
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.6
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.6
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.6
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.7
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.7
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.7
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.7
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.7
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.7
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.7
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.8
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.8
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.8
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.8
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.8
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.8
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.9
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.9
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.9
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.9
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.9
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.9
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.9
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-1.0
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-1.0
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-1.0
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-1.0
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-1.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-1.0
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-1.0
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-1.0
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-1.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-1.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-1.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-1.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-1.2
8cc7e656-0152-4359-8566-0581c3
Tumor
-1.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-1.3
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-1.4
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-1.6
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
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
