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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.
MAP2K6 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
17.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
86.3
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
62.0
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
54.7
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
52.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
52.0
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
42.5
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
42.1
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
40.0
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
37.0
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
36.9
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
36.2
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
35.9
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
35.4
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
35.3
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
34.9
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
34.8
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
34.3
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
33.7
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
33.7
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
33.7
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
33.4
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
33.0
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
32.5
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
32.0
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
31.4
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
30.6
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
30.5
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
29.8
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
29.7
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
29.6
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
29.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
29.4
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
29.3
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
29.3
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
28.7
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
28.3
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
28.3
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
27.3
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
27.2
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
27.1
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
27.1
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
27.1
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
26.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
26.4
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
25.0
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
24.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
24.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
24.8
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
24.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
24.3
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
24.3
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
24.2
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
24.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
23.4
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
23.1
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
23.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
22.9
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
22.8
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
22.7
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
22.7
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
22.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
22.5
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
22.4
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
22.4
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
22.1
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
22.1
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
21.8
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
21.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
21.6
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
21.6
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
21.5
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
21.4
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
21.4
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
21.4
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
21.2
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
20.8
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
20.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
20.6
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
20.5
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
20.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
20.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
20.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
20.1
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
20.1
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
20.1
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
19.8
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
19.8
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
19.6
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
19.4
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
19.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
19.1
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
18.9
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
18.9
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
18.9
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
18.9
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
18.9
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
18.8
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
18.7
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
18.7
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
18.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
18.6
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
18.6
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
18.5
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
18.4
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
18.4
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
17.8
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
17.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
17.6
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
17.5
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
17.4
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
17.2
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
17.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
17.1
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
17.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
16.9
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
16.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
16.6
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
16.6
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
16.5
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
16.4
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
16.3
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
16.3
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
16.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
16.1
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
15.9
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
15.9
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
15.6
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
15.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
15.5
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
15.3
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
15.3
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
15.3
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
15.2
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
15.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
15.0
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
15.0
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
14.7
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
14.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
14.7
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
14.5
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
14.5
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
14.4
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
14.3
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
14.3
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
14.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
14.0
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
13.9
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
13.9
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
13.7
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
13.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
13.6
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
13.6
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
13.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
13.2
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
13.2
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
13.2
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
13.2
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
12.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
12.9
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
12.8
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
12.8
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
12.7
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
12.7
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
12.7
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
12.6
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
12.6
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
12.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
12.4
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
12.3
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
12.2
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
12.2
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
11.9
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
11.9
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
11.9
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
11.9
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
11.8
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
11.8
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
11.6
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
11.6
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
11.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
11.5
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
11.4
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
11.3
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
11.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
11.2
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
11.1
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
11.1
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
11.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
11.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
10.9
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
10.9
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
10.8
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
10.7
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
10.6
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
10.4
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
10.2
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
10.2
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
10.1
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
10.0
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
9.9
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
9.7
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
9.5
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
9.3
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
9.2
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
9.2
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
9.1
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
9.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
9.1
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
8.9
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
8.9
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
8.8
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
8.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
8.7
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
8.6
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
8.6
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
8.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
8.4
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
8.4
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
8.3
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
8.3
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
8.3
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
8.2
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
8.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
8.0
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
7.9
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
7.9
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
7.8
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
7.7
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
7.6
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
7.6
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
7.5
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
7.3
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
7.2
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
7.1
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
6.8
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
6.8
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
6.8
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
6.7
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
6.6
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
6.5
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
6.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
6.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
6.0
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
5.8
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
5.8
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
5.7
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
5.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
5.2
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
4.8
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
4.0
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
3.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
3.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
2.6
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 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.
MAP2K6 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
34.2
Number of samples
486
Samples
Sample
Description
TPM
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
172.3
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
108.4
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
102.3
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
100.6
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
90.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
90.7
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
86.9
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
86.6
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
85.5
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
83.8
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
83.5
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
78.2
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
77.8
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
77.0
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
76.4
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
75.3
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
74.5
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
72.5
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
71.0
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
71.0
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
69.8
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
69.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
68.9
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
66.2
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
66.1
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
65.5
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
65.4
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
65.3
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
64.1
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
63.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
63.7
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
63.6
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
63.4
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
62.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
61.7
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
61.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
60.4
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
59.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
59.3
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
59.3
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
59.0
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
58.9
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
58.7
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
58.4
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
58.3
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
58.0
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
57.5
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
57.0
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
56.9
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
56.8
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
55.3
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
55.2
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
54.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
54.4
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
54.3
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
53.4
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
53.0
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
52.9
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
52.8
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
52.7
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
52.7
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
52.6
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
52.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
52.4
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
52.4
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
52.0
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
51.8
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
51.7
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
51.6
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
51.0
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
50.8
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
50.2
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
50.0
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
49.4
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
49.4
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
49.3
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
49.2
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
49.1
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
49.1
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
48.9
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
48.9
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
48.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
48.0
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
47.6
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
47.4
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
47.4
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
47.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
47.2
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
46.6
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
46.5
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
46.2
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
46.1
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
45.9
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
45.8
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
45.7
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
45.5
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
44.9
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
44.8
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
44.8
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
44.7
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
43.8
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
43.5
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
43.4
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
43.3
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
43.3
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
43.3
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
43.2
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
43.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
43.2
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
42.9
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
42.8
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
42.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
42.6
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
42.6
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
42.3
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
42.3
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
42.1
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
42.1
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
42.0
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
42.0
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
41.7
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
41.6
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
41.6
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
41.6
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
41.5
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
41.4
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
41.4
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
41.3
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
41.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
41.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
40.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
40.5
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
40.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
40.3
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
40.3
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
40.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
40.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
40.2
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
40.0
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
39.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
39.8
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
39.8
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
39.8
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
39.7
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
39.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
39.1
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
39.0
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
39.0
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
38.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
38.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
38.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
38.2
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
38.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
38.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
37.9
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
37.9
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
37.6
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
37.5
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
37.5
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
37.5
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
37.4
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
37.4
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
37.3
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
37.2
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
37.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
36.9
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
36.8
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
36.8
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
36.7
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
36.6
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
36.5
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
36.4
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
36.3
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
36.2
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
36.1
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
36.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
36.0
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
35.7
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
35.6
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
35.6
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
35.4
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
35.3
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
35.3
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
35.3
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
35.2
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
35.0
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
34.9
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
34.9
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
34.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
34.8
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
34.6
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
34.6
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
34.6
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
34.4
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
34.4
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
34.4
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
34.3
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
34.2
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
34.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
34.1
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
34.0
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
34.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
33.9
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
33.9
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
33.8
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
33.7
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
33.7
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
33.6
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
33.6
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
33.6
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
33.0
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
32.9
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
32.8
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
32.7
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
32.5
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
32.5
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
32.5
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
32.4
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
32.3
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
32.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
32.3
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
32.1
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
32.1
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
32.0
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
31.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
31.9
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
31.9
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
31.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
31.9
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
31.8
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
31.8
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
31.8
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
31.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
31.7
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
31.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
31.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
31.5
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
31.4
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
31.4
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
31.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
31.3
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
31.3
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
31.2
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
31.1
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
30.9
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
30.8
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
30.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
30.6
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
30.6
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
30.5
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
30.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
30.3
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
30.3
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
30.2
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
30.2
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
30.0
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
29.9
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
29.9
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
29.9
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
29.8
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
29.8
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
29.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
29.5
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
29.4
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
29.4
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
29.3
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
29.3
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
29.2
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
29.1
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
29.1
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
29.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
29.0
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
29.0
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
28.8
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
28.7
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
28.6
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
28.5
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
28.5
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
28.5
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
28.4
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
28.4
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
28.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
28.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
28.2
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
28.0
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
28.0
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
27.9
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
27.9
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
27.7
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
27.6
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
27.5
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
27.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
27.3
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
27.1
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
27.1
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
27.1
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
27.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
27.0
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
27.0
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
26.9
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
26.9
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
26.7
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
26.6
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
26.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
26.4
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
26.4
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
26.3
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
26.2
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
26.2
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
26.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
26.1
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
26.1
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
26.1
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
26.0
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
25.9
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
25.7
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
25.6
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
25.6
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
25.6
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
25.6
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
25.5
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
25.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
25.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
25.3
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
25.3
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
25.3
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
25.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
25.2
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
25.1
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
25.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
25.0
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
25.0
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
24.8
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
24.8
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
24.8
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
24.8
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
24.6
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
24.6
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
24.5
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
24.4
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
24.4
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
24.4
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
24.3
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
24.2
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
24.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
24.1
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
24.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
24.1
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
24.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
23.8
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
23.8
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
23.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
23.7
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
23.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
23.4
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
23.3
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
23.1
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
23.1
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
23.1
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
23.1
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
23.0
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
22.9
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
22.8
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
22.7
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
22.6
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
22.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
22.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
22.3
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
22.3
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
22.1
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
22.1
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
21.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
21.8
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
21.7
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
21.5
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
21.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
21.5
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
21.5
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
21.4
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
21.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
21.2
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
21.2
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
21.1
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
21.1
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
21.0
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
20.9
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
20.8
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
20.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
20.6
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
20.6
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
20.5
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
20.5
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
20.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
20.2
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
20.2
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
20.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
19.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
19.7
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
19.6
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
19.6
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
19.5
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
19.4
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
19.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
19.2
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
19.2
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
19.2
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
18.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
18.9
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
18.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
18.7
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
18.7
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
18.7
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
18.6
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
18.5
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
18.5
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
18.2
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
18.0
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
17.9
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
17.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
17.7
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
17.4
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
17.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
17.1
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
17.1
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
17.1
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
17.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
17.0
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
17.0
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
16.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
16.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
16.8
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
16.8
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
16.7
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
16.7
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
16.6
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
16.6
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
16.5
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
16.5
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
16.4
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
16.3
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
16.3
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
16.3
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
16.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
16.1
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
16.0
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
16.0
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
16.0
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
15.9
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
15.8
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
15.5
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
15.4
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
15.2
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
15.1
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
15.0
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
15.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
14.6
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
14.3
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
13.6
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
13.3
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
13.3
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
13.0
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
12.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
12.4
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
12.0
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
11.9
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
11.2
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
11.2
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
10.8
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
10.8
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
10.7
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
10.2
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
9.7
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
9.7
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
9.7
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
8.8
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
8.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
8.7
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
8.5
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
8.3
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
8.3
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
8.3
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
7.9
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
7.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
4.6
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MAP2K6 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
16.9
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
48.5
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
46.8
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
45.2
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
44.8
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
40.8
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
36.2
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
32.9
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
31.8
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
29.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
28.0
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
27.7
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
26.0
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
25.8
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
25.2
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
23.5
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
23.3
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
23.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
22.8
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
22.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
22.7
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
22.0
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
21.8
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
21.5
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
21.4
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
21.3
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
21.2
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
20.8
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
20.8
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
20.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
20.4
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
20.0
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
18.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
18.5
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
18.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
18.0
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
17.6
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
16.9
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
16.5
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
15.7
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
15.7
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
15.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
15.3
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
15.0
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
14.3
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
14.0
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
14.0
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
14.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
13.3
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
13.2
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
12.7
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
12.6
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
12.6
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
12.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
12.3
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
12.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
12.1
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
11.8
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
11.5
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
11.3
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
11.0
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
10.9
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
10.9
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
10.8
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
10.7
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
10.6
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
10.5
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
10.2
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
10.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
9.7
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
9.6
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
9.6
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
9.2
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
9.0
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
8.7
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
8.7
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
8.1
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
8.0
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
7.0
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
7.0
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
6.9
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
5.6
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
5.3
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
5.3
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
5.2
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
4.5
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
3.4
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
2.9
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.
MAP2K6 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
35.8
Number of samples
207
Samples
Sample
Description
TPM
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
122.2
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
118.5
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
106.8
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
106.4
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
96.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
90.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
87.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
79.9
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
79.6
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
79.5
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
76.7
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
73.6
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
71.1
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
69.2
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
68.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
65.3
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
61.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
57.6
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
57.6
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
55.4
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
55.3
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
54.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
54.3
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
54.3
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
53.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
53.3
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
53.0
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
52.3
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
52.1
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
51.8
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
50.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
50.5
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
49.7
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
49.6
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
49.0
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
49.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
48.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
48.6
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
48.0
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
47.8
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
47.7
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
47.5
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
47.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
46.2
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
45.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
45.2
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
44.7
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
44.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
44.6
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
44.5
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
43.8
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
43.7
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
43.5
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
43.4
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
43.2
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
43.2
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
42.7
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
42.6
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
42.3
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
41.9
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
41.9
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
41.8
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
41.7
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
41.7
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
41.7
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
41.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
41.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
41.3
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
41.1
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
40.9
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
40.8
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
40.6
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
40.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
40.0
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
39.9
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
39.5
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
39.4
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
39.3
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
39.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
39.2
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
38.9
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
38.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
38.1
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
37.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
37.0
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
36.4
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
36.4
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
36.1
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
35.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
35.1
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
35.0
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
34.7
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
34.5
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
34.5
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
34.3
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
34.2
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
33.6
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
33.4
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
33.4
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
33.3
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
33.2
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
33.0
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
32.8
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
32.7
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
32.7
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
32.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
32.3
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
32.3
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
32.2
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
32.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
31.9
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
31.4
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
31.0
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
30.9
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
30.7
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
30.5
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
30.4
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
29.9
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
29.8
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
29.6
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
28.7
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
28.5
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
28.5
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
28.3
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
27.9
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
27.9
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
27.7
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
27.6
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
27.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
27.4
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
27.1
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
27.1
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
26.9
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
26.8
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
26.8
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
26.5
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
26.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
25.8
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
25.8
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
25.3
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
25.0
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
24.2
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
23.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
23.7
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
23.6
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
23.4
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
23.4
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
23.1
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
23.0
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
23.0
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
22.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
22.8
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
22.0
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
22.0
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
21.7
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
21.5
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
21.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
21.4
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
21.0
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
20.9
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
20.8
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
20.3
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
20.3
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
19.8
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
19.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
19.5
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
19.5
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
19.5
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
19.0
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
18.8
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
18.4
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
18.2
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
17.7
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
17.5
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
17.4
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
17.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
17.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
16.9
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
16.9
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
16.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
16.8
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
16.4
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
16.2
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
16.2
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
16.0
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
15.7
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
15.7
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
15.6
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
15.4
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
14.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
14.2
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
14.0
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
13.9
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
13.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
13.7
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
13.6
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
13.2
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
12.7
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
12.2
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
12.2
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
12.1
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
10.8
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
10.7
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
10.5
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
9.2
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
7.8
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
3.9
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.8
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.6
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.6
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.6
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.6
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.5
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.5
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.5
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.5
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.5
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.5
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.5
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.5
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.5
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.5
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.5
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.5
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.4
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.4
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.4
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.4
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.4
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.4
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.4
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.4
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.4
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.4
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.4
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.4
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.4
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.4
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.4
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.4
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.4
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.4
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.3
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.1
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Normal
0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.0
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.0
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.0
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.0
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.0
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Normal
0.0
8cc7e656-0152-4359-8566-0581c3
Tumor
0.0
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.1
b2400046-1d25-429d-a821-6040a6
Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.3
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Tumor
-0.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.4
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Tumor
-0.4
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.5
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Tumor
-0.5
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Tumor
-0.5
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Tumor
-0.5
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Tumor
-0.5
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.5
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.5
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.5
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.6
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.6
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.