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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.
DUSP6 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
55.1
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
259.9
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
179.8
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
179.7
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
148.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
142.0
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
139.6
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
139.1
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
130.9
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
123.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
121.6
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
120.8
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
119.8
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
118.3
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
114.4
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
113.8
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
113.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
108.6
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
101.7
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
101.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
100.8
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
99.9
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
98.2
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
97.1
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
96.2
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
94.8
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
94.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
94.5
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
93.5
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
92.7
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
92.2
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
92.1
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
91.8
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
90.8
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
90.4
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
88.5
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
88.3
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
86.0
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
85.1
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
84.9
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
81.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
81.3
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
79.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
78.6
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
78.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
77.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
77.4
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
76.6
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
76.1
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
75.7
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
75.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
75.0
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
74.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
73.9
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
73.4
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
73.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
72.4
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
72.0
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
71.5
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
71.2
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
71.1
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
70.9
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
70.8
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
70.5
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
70.3
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
69.9
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
69.9
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
69.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
69.2
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
68.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
68.6
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
68.1
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
67.9
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
67.4
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
66.2
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
65.9
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
65.9
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
64.7
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
64.3
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
63.9
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
63.8
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
63.3
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
63.3
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
63.2
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
62.5
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
62.2
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
62.1
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
61.7
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
61.5
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
60.9
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
60.7
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
60.2
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
59.7
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
59.6
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
59.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
59.2
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
58.4
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
57.9
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
57.6
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
57.6
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
57.4
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
57.1
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
57.1
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
56.7
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
56.5
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
56.5
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
56.3
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
56.1
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
56.1
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
54.8
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
54.6
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
54.4
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
53.4
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
53.4
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
53.4
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
53.2
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
53.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
53.0
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
52.9
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
52.4
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
51.9
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
51.1
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
51.0
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
50.8
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
50.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
50.4
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
50.4
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
50.0
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
49.9
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
49.4
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
49.4
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
47.8
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
47.7
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
47.7
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
47.3
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
47.0
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
46.8
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
46.3
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
46.2
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
46.0
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
45.7
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
44.7
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
43.9
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
43.3
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
43.0
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
42.5
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
42.5
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
41.8
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
41.7
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
41.6
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
41.5
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
41.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
41.4
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
40.8
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
40.7
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
40.6
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
40.6
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
40.2
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
39.6
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
39.5
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
39.1
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
38.9
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
38.8
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
38.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
37.6
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
37.1
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
36.9
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
36.9
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
36.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
36.4
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
36.4
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
36.3
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
35.9
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
35.4
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
35.4
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
34.9
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
34.8
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
34.7
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
34.6
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
34.4
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
33.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
33.7
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
33.5
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
33.5
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
33.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
33.2
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
33.1
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
32.2
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
31.9
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
31.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
31.6
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
31.6
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
31.5
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
31.3
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
31.2
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
30.8
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
30.8
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
30.7
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
30.5
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
29.6
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
29.5
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
29.0
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
29.0
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
28.7
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
28.4
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
28.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
28.1
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
27.8
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
27.8
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
27.6
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
27.4
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
27.0
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
26.8
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
26.3
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
26.2
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
25.9
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
25.7
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
25.7
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
25.2
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
24.9
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
24.6
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
24.6
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
24.5
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
23.7
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
23.7
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
23.5
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
23.3
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
23.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
23.1
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
22.5
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
21.9
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
21.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
21.7
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
21.6
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
21.0
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
20.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
20.3
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
19.1
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
18.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
18.3
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
18.2
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
18.0
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
18.0
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
17.2
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
16.6
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
15.9
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
15.6
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
15.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
15.2
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
15.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
13.7
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
12.9
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
11.8
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
11.0
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 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.
DUSP6 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
79.5
Number of samples
486
Samples
Sample
Description
TPM
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
394.2
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
319.0
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
317.5
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
237.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
224.1
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
219.5
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
216.2
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
189.3
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
188.2
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
184.5
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
178.5
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
173.6
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
171.5
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
162.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
156.4
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
154.6
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
154.1
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
153.2
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
152.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
152.0
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
151.7
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
150.4
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
147.5
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
146.4
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
146.3
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
145.0
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
144.7
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
144.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
142.8
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
141.6
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
140.3
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
140.1
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
140.1
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
138.8
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
136.8
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
136.1
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
136.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
134.9
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
134.0
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
132.3
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
132.2
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
132.0
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
129.1
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
128.2
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
125.0
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
124.7
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
124.5
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
124.3
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
124.2
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
123.8
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
123.8
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
123.5
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
122.8
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
122.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
118.8
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
118.1
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
117.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
117.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
116.7
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
116.5
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
116.4
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
115.8
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
115.0
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
114.8
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
114.6
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
114.6
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
113.5
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
113.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
112.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
112.8
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
111.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
111.7
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
111.3
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
111.2
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
110.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
110.4
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
110.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
110.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
109.4
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
109.3
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
109.3
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
109.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
109.1
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
108.5
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
108.4
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
107.8
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
107.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
106.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
106.6
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
106.6
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
106.5
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
105.6
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
105.0
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
104.8
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
104.7
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
104.6
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
104.2
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
104.0
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
103.6
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
102.8
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
102.5
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
101.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
101.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
101.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
100.9
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
100.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
100.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
100.0
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
99.8
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
99.6
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
99.0
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
98.7
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
97.9
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
97.8
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
96.9
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
96.2
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
96.1
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
95.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
95.6
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
95.4
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
94.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
94.6
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
94.4
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
94.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
93.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
93.6
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
93.6
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
93.4
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
93.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
93.3
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
92.8
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
92.3
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
92.1
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
92.1
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
91.9
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
91.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
91.7
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
91.7
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
91.6
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
91.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
91.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
91.1
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
90.6
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
90.5
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
90.5
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
90.2
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
90.1
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
90.1
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
89.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
89.5
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
89.3
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
89.0
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
89.0
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
88.8
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
88.6
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
88.3
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
88.3
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
87.8
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
87.7
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
87.5
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
87.1
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
86.7
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
86.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
86.7
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
86.6
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
86.5
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
86.3
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
86.2
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
85.7
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
85.7
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
85.5
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
85.3
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
85.2
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
85.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
85.0
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
84.8
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
84.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
84.1
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
84.1
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
84.0
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
83.7
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
83.2
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
83.2
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
83.1
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
83.1
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
83.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
82.9
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
82.7
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
82.5
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
82.3
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
82.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
81.9
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
81.9
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
81.8
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
81.7
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
81.7
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
81.7
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
81.6
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
81.5
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
81.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
81.2
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
81.1
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
81.0
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
81.0
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
80.8
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
80.6
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
80.3
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
80.2
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
79.9
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
79.8
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
79.5
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
78.6
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
78.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
78.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
78.0
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
77.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
77.6
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
76.9
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
76.9
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
76.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
76.2
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
75.8
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
75.5
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
75.5
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
75.3
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
75.2
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
75.1
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
75.1
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
75.0
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
74.7
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
74.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
74.4
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
74.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
74.3
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
74.3
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
73.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
73.8
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
73.7
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
73.5
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
73.4
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
72.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
72.8
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
72.7
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
72.7
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
72.5
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
72.5
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
72.0
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
72.0
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
71.9
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
71.8
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
71.6
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
71.5
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
71.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
70.9
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
70.8
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
70.0
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
69.9
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
69.8
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
69.7
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
69.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
69.3
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
69.3
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
69.1
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
69.0
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
68.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
68.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
68.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
68.3
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
68.1
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
68.1
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
68.1
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
67.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
67.6
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
67.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
67.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
66.9
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
66.8
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
66.7
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
66.7
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
66.6
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
66.5
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
66.5
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
66.5
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
66.3
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
66.2
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
65.8
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
65.4
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
65.0
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
64.9
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
64.7
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
64.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
63.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
63.5
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
63.4
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
62.9
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
62.8
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
62.8
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
62.8
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
62.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
62.7
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
62.5
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
62.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
62.2
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
62.2
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
62.1
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
62.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
61.3
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
61.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
61.1
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
61.0
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
60.7
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
60.6
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
60.4
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
60.2
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
60.1
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
60.0
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
59.9
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
59.8
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
59.8
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
59.8
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
59.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
59.6
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
59.6
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
59.6
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
59.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
59.5
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
59.2
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
58.8
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
58.5
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
58.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
58.0
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
57.8
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
57.8
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
57.6
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
57.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
57.3
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
57.0
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
56.9
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
56.6
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
56.1
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
56.0
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
55.8
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
55.7
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
55.6
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
55.4
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
55.1
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
55.1
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
55.1
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
55.0
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
54.9
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
54.3
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
54.2
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
54.1
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
54.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
53.9
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
53.3
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
53.2
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
53.2
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
52.8
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
52.7
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
52.6
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
52.5
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
52.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
52.2
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
52.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
51.9
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
51.9
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
51.9
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
51.6
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
51.5
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
51.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
51.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
51.1
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
51.0
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
50.9
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
50.5
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
50.4
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
50.3
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
50.2
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
50.1
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
49.7
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
49.5
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
49.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
49.3
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
49.3
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
49.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
49.1
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
49.1
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
48.8
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
48.5
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
48.4
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
48.3
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
48.2
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
48.1
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
48.1
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
48.0
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
48.0
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
47.9
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
47.8
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
47.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
47.7
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
47.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
47.5
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
47.4
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
47.3
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
47.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
47.0
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
46.7
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
46.6
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
46.6
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
46.5
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
45.4
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
45.2
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
45.2
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
45.1
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
45.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
45.0
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
44.9
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
44.9
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
44.7
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
44.6
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
44.5
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
44.4
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
44.4
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
44.1
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
44.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
43.8
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
43.7
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
43.5
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
43.2
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
43.0
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
42.7
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
42.6
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
42.6
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
42.6
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
42.5
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
42.4
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
42.3
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
42.3
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
42.2
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
42.1
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
41.7
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
41.4
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
41.0
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
40.9
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
39.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
39.8
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
39.2
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
39.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
38.8
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
38.5
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
38.4
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
37.7
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
37.7
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
37.5
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
37.2
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
37.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
37.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
37.0
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
36.5
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
35.8
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
35.6
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
35.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
35.0
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
34.5
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
33.9
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
33.7
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
32.6
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
32.2
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
32.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
31.4
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
30.8
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
30.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
30.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
29.8
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
28.8
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
28.7
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
27.6
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
27.5
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
27.3
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
27.2
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
26.6
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
25.6
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
18.2
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.5
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.
DUSP6 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
53.0
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
362.0
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
291.8
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
144.2
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
126.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
111.7
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
102.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
94.2
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
93.2
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
89.2
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
85.4
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
84.8
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
83.4
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
81.7
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
79.0
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
77.9
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
75.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
70.4
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
69.1
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
65.8
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
65.0
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
62.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
62.4
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
62.4
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
61.5
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
58.5
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
56.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
55.8
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
54.6
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
54.4
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
53.8
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
53.5
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
51.0
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
50.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
46.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
46.1
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
45.9
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
44.8
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
44.3
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
42.3
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
41.5
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
41.2
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
40.9
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
40.8
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
39.4
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
38.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
38.7
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
38.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
36.7
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
36.6
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
36.5
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
35.9
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
35.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
34.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
34.5
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
34.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
34.2
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
33.9
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
33.6
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
33.3
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
33.0
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
32.7
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
32.7
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
31.9
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
31.9
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
31.5
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
30.7
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
30.0
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
28.7
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
26.3
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
26.1
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
25.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
24.6
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
24.5
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
23.1
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
23.0
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
22.4
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
22.4
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
21.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
21.3
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
19.1
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
17.5
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
17.5
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
16.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
13.7
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
13.0
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
13.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
9.1
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
DUSP6 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
72.7
Number of samples
207
Samples
Sample
Description
TPM
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
329.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
306.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
171.3
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
169.2
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
151.4
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
145.5
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
134.8
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
132.2
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
131.6
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
129.3
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
126.7
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
124.2
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
123.0
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
117.4
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
117.0
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
116.0
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
115.0
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
114.0
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
113.1
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
112.5
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
110.1
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
110.1
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
108.8
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
107.9
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
107.2
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
105.2
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
102.6
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
102.1
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
101.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
100.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
100.3
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
98.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
98.0
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
97.7
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
97.7
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
96.9
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
96.6
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
96.0
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
94.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
94.8
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
94.0
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
92.7
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
92.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
92.1
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
91.0
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
90.1
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
89.3
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
88.7
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
88.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
87.0
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
86.9
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
86.4
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
85.4
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
84.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
84.7
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
83.6
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
83.4
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
80.9
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
80.4
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
80.4
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
80.0
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
79.8
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
79.8
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
79.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
79.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
79.7
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
79.4
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
78.4
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
78.1
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
77.9
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
77.7
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
77.5
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
76.9
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
76.6
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
76.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
75.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
75.4
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
75.3
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
74.7
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
74.3
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
73.6
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
73.6
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
73.5
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
72.9
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
72.6
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
71.0
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
70.7
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
70.1
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
69.9
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
69.7
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
69.6
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
69.2
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
68.4
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
68.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
68.1
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
67.8
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
67.6
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
67.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
67.3
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
67.2
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
67.0
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
66.9
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
66.9
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
66.9
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
66.9
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
66.2
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
66.2
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
65.8
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
65.7
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
64.7
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
64.4
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
64.2
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
64.2
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
64.0
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
63.9
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
63.5
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
63.5
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
63.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
63.4
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
63.3
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
63.1
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
63.0
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
62.9
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
62.9
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
62.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
62.4
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
62.2
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
61.6
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
61.1
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
61.0
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
60.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
59.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
59.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
59.0
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
58.7
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
58.3
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
57.8
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
57.6
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
56.5
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
56.0
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
55.8
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
55.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
54.6
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
54.3
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
54.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
53.8
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
53.6
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
53.1
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
52.7
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
52.6
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
52.5
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
51.6
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
51.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
51.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
51.1
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
51.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
50.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
50.8
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
50.5
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
50.3
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
49.5
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
49.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
49.0
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
48.8
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
48.6
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
48.5
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
48.3
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
48.2
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
48.1
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
48.1
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
47.1
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
46.1
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
45.6
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
45.6
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
45.3
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
45.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
44.7
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
44.6
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
43.9
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
43.8
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
41.7
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
40.9
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
40.6
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
39.9
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
39.0
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
38.0
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
37.7
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
37.6
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
37.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
35.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
35.4
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
34.9
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
34.7
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
33.2
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
32.7
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
30.7
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
30.7
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
30.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
28.8
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
28.4
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
27.2
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
26.1
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
25.9
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
21.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
20.2
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
17.6
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
8.2
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8cc7e656-0152-4359-8566-0581c3
Tumor
N/A
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
N/A
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
N/A
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
82157a70-12f1-4913-b548-d98881_D2
Normal
N/A
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
N/A
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
N/A
067db520-1b1f-4569-9414-e37a6e_D2
Normal
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
41a04113-2061-4923-bca5-da586c_D2
Normal
N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
N/A
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
N/A
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
N/A
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
N/A
411d9597-c785-4de5-b449-29a80d_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
b3696374-c6c0-49dd-833e-596e26_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
N/A
4b263734-430f-41dc-a296-8691f0_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
N/A
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
N/A
46dfc1e4-0110-4d9f-888e-6a29ab_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.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
