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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.
MAPK13 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
37.9
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
98.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
86.4
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
85.2
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
84.5
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
80.5
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
74.0
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
72.7
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
72.2
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
69.8
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
68.7
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
67.5
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
66.6
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
66.4
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
65.0
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
63.6
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
63.6
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
60.8
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
60.4
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
60.0
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
59.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
58.5
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
58.4
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
57.9
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
57.6
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
57.4
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
56.5
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
56.1
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
55.3
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
54.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
54.7
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
53.9
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
53.1
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
52.9
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
52.8
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
52.5
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
52.2
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
51.9
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
51.3
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
50.9
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
50.8
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
50.8
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
50.3
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
50.3
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
49.6
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
49.6
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
49.4
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
48.7
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
48.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
48.3
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
48.2
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
48.2
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
48.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
47.5
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
47.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
46.8
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
46.7
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
46.6
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
46.6
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
46.5
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
46.4
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
45.7
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
45.6
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
45.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
45.5
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
45.5
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
45.4
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
45.1
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
45.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
44.7
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
44.5
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
44.4
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
44.4
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
44.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
44.0
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
43.9
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
43.8
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
43.1
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
42.8
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
42.5
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
42.4
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
42.3
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
42.2
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
42.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
42.1
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
42.0
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
42.0
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
41.8
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
41.8
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
41.4
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
41.3
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
40.8
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
40.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
40.0
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
39.8
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
39.6
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
39.5
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
39.4
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
39.3
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
39.3
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
38.9
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
38.9
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
38.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
38.7
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
38.1
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
37.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
37.8
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
37.7
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
37.5
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
37.5
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
37.5
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
37.4
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
37.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
36.8
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
36.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
36.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
36.6
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
36.6
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
36.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
36.4
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
36.3
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
36.3
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
36.3
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
36.3
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
36.2
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
36.1
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
36.1
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
36.0
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
35.9
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
35.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
35.9
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
35.9
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
35.5
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
35.5
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
35.5
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
35.3
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
35.3
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
35.3
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
35.2
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
35.2
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
34.8
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
34.5
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
34.2
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
34.1
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
33.9
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
33.9
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
33.4
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
33.3
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
33.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
32.9
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
32.8
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
32.8
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
32.7
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
32.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
32.6
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
32.5
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
32.2
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
32.1
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
32.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
31.9
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
31.9
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
31.9
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
31.8
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
31.6
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
31.2
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
31.2
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
31.2
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
31.0
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
31.0
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
30.8
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
30.5
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
30.5
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
30.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
30.2
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
30.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
30.0
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
29.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
29.7
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
29.5
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
29.4
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
29.3
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
29.2
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
29.1
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
29.0
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
28.8
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
28.7
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
28.5
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
28.4
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
28.3
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
28.2
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
27.9
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
27.9
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
27.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
27.5
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
27.2
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
27.2
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
26.8
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
26.8
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
26.6
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
26.5
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
26.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
26.3
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
26.2
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
26.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
25.9
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
25.8
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
25.6
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
25.4
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
25.3
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
25.3
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
25.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
25.2
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
24.9
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
24.9
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
24.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
24.4
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
24.4
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
24.3
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
24.3
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
23.6
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
23.1
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
22.9
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
22.8
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
22.6
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
22.4
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
22.3
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
22.2
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
21.7
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
21.4
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
21.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
20.9
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
20.6
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
20.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
20.5
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
20.5
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
20.3
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
20.3
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
20.3
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
20.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
20.0
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
19.4
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
19.2
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
19.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
18.8
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
18.8
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
18.6
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
18.4
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
18.3
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
18.3
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
18.1
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
17.7
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
17.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
17.0
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
14.7
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 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.
MAPK13 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
35.7
Number of samples
486
Samples
Sample
Description
TPM
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
87.3
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
76.1
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
74.9
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
65.9
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
63.5
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
62.4
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
62.0
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
61.5
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
61.2
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
60.9
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
60.8
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
58.0
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
57.6
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
57.3
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
56.8
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
56.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
56.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
56.4
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
56.1
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
55.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
55.5
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
55.2
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
55.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
54.9
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
54.0
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
53.8
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
53.1
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
52.8
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
52.3
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
52.3
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
52.1
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
52.0
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
52.0
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
51.2
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
51.1
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
51.0
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
50.9
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
50.9
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
50.7
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
50.3
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
50.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
49.6
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
49.2
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
48.9
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
48.8
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
48.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
48.7
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
48.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
48.6
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
48.1
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
48.1
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
47.8
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
47.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
47.7
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
47.3
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
47.3
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
47.2
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
47.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
47.0
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
47.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
47.0
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
46.6
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
46.5
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
46.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
46.4
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
46.2
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
46.2
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
46.2
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
46.1
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
45.8
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
45.8
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
45.7
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
45.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
45.7
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
45.7
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
45.6
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
45.6
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
45.5
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
45.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
44.9
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
44.9
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
44.9
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
44.9
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
44.8
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
44.5
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
44.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
44.3
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
44.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
44.1
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
44.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
44.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
44.0
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
43.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
43.9
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
43.9
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
43.8
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
43.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
43.5
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
43.3
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
43.2
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
43.2
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
43.2
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
43.1
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
43.1
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
43.0
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
43.0
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
43.0
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
42.4
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
42.4
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
42.4
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
42.3
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
42.3
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
42.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
42.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
42.1
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
42.0
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
42.0
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
41.9
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
41.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
41.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
41.9
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
41.9
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
41.7
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
41.7
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
41.7
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
41.7
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
41.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
41.4
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
41.3
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
41.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
41.1
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
41.1
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
41.1
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
41.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
40.9
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
40.8
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
40.8
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
40.7
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
40.7
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
40.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
40.5
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
40.5
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
40.5
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
40.4
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
40.4
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
40.3
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
40.3
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
40.2
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
40.2
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
40.1
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
40.0
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
40.0
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
39.9
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
39.9
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
39.8
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
39.7
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
39.6
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
39.6
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
39.5
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
39.4
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
39.4
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
39.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
39.3
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
39.3
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
39.2
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
39.2
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
39.2
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
38.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
38.8
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
38.8
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
38.8
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
38.7
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
38.6
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
38.6
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
38.6
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
38.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
38.5
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
38.5
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
38.5
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
38.4
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
38.3
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
38.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
38.1
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
38.1
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
38.1
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
38.1
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
38.1
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
38.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
38.0
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
38.0
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
37.8
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
37.8
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
37.8
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
37.7
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
37.7
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
37.7
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
37.7
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
37.6
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
37.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
37.5
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
37.5
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
37.4
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
37.4
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
37.3
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
37.3
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
37.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
37.2
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
37.1
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
37.1
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
37.1
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
37.0
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
37.0
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
36.8
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
36.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
36.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
36.4
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
36.4
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
36.4
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
36.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
36.4
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
36.3
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
36.3
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
36.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
36.3
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
36.3
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
36.2
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
36.2
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
36.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
36.1
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
36.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
35.9
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
35.9
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
35.9
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
35.6
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
35.5
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
35.5
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
35.4
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
35.4
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
35.3
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
35.2
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
35.1
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
35.1
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
34.9
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
34.9
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
34.9
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
34.9
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
34.9
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
34.9
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
34.9
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
34.8
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
34.8
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
34.7
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
34.7
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
34.7
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
34.7
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
34.7
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
34.6
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
34.6
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
34.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
34.4
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
34.4
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
34.4
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
34.4
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
34.2
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
34.1
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
34.0
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
34.0
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
33.9
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
33.7
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
33.7
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
33.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
33.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
33.5
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
33.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
33.5
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
33.4
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
33.4
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
33.4
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
33.3
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
33.3
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
33.3
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
33.1
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
33.1
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
33.0
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
33.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
33.0
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
33.0
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
32.8
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
32.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
32.6
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
32.5
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
32.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
32.4
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
32.4
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
32.4
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
32.3
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
32.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
32.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
32.2
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
32.2
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
32.1
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
32.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
32.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
32.1
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
32.1
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
32.0
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
32.0
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
32.0
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
31.9
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
31.8
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
31.7
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
31.7
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
31.7
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
31.7
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
31.7
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
31.6
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
31.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
31.3
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
31.3
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
31.3
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
31.3
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
31.3
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
31.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
31.3
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
31.3
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
31.3
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
31.1
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
31.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
31.0
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
30.9
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
30.8
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
30.8
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
30.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
30.7
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
30.6
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
30.5
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
30.4
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
30.4
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
30.3
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
30.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
30.3
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
30.3
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
30.3
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
30.2
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
30.1
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
30.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
30.0
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
30.0
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
30.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
29.9
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
29.8
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
29.6
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
29.5
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
29.4
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
29.3
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
29.3
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
29.2
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
29.2
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
29.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
29.2
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
29.1
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
29.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
29.0
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
29.0
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
28.9
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
28.8
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
28.8
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
28.8
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
28.7
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
28.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
28.2
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
28.1
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
27.9
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
27.8
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
27.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
27.8
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
27.7
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
27.6
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
27.6
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
27.5
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
27.5
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
27.4
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
27.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
27.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
27.2
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
27.2
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
27.2
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
27.1
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
27.0
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
27.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
27.0
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
26.9
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
26.7
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
26.7
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
26.6
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
26.6
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
26.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
26.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
26.4
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
26.4
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
26.4
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
26.3
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
26.3
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
26.2
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
26.1
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
26.0
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
25.8
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
25.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
25.7
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
25.7
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
25.7
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
25.7
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
25.7
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
25.7
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
25.6
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
25.6
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
25.5
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
25.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
25.2
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
25.1
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
25.1
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
25.0
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
24.9
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
24.9
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
24.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
24.8
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
24.8
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
24.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
24.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
24.4
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
24.4
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
24.4
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
24.3
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
23.9
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
23.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
23.9
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
23.8
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
23.8
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
23.7
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
23.7
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
23.6
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
23.5
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
23.5
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
23.5
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
23.5
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
23.5
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
23.4
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
23.3
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
23.2
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
23.1
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
22.8
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
22.7
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
22.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
22.3
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
22.3
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
22.2
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
22.1
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
22.0
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
21.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
21.6
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
21.6
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
21.4
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
21.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
21.1
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
20.8
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
20.7
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
20.6
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
20.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
20.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
20.1
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
19.5
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
18.1
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
17.7
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
17.3
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
17.0
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
16.8
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
16.2
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
15.9
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
15.0
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
13.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
13.2
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
13.0
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
12.1
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
10.0
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.4
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MAPK13 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
38.8
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
78.4
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
73.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
68.1
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
65.7
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
64.9
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
62.9
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
62.4
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
59.7
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
57.2
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
56.6
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
55.6
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
55.5
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
55.5
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
52.6
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
52.5
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
52.0
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
51.6
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
51.2
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
49.6
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
49.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
48.0
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
47.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
47.4
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
46.2
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
46.2
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
45.9
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
45.5
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
44.6
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
44.4
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
44.3
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
43.6
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
43.4
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
42.1
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
41.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
40.7
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
40.4
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
40.1
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
39.9
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
38.7
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
38.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
37.7
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
37.7
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
37.4
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
36.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
36.4
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
36.1
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
36.1
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
35.7
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
35.3
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
35.2
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
35.2
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
35.2
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
34.6
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
34.5
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
34.4
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
33.5
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
33.3
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
32.9
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
32.7
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
32.0
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
31.9
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
31.7
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
31.6
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
31.0
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
29.9
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
29.5
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
29.2
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
29.1
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
28.8
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
28.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
28.7
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
27.9
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
27.8
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
27.4
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
27.3
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
26.3
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
24.8
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
24.5
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
23.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
23.0
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
22.9
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
18.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
16.3
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
15.4
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
10.9
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
10.1
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
9.4
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.
MAPK13 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
34.2
Number of samples
207
Samples
Sample
Description
TPM
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
59.9
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
59.2
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
56.7
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
56.7
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
55.8
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
54.5
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
54.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
53.9
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
53.1
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
52.5
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
52.2
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
51.6
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
50.6
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
50.6
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
50.4
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
50.0
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
49.9
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
49.3
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
47.8
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
47.7
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
47.3
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
47.3
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
46.2
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
45.4
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
44.8
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
44.5
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
44.2
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
44.1
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
44.0
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
43.9
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
43.6
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
43.5
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
43.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
43.4
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
43.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
43.2
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
42.8
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
42.3
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
41.9
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
41.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
41.8
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
41.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
41.5
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
41.4
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
41.4
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
41.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
41.0
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
40.8
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
40.8
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
40.8
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
40.7
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
40.5
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
40.3
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
39.7
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
39.6
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
39.3
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
39.1
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
38.9
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
38.9
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
38.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
38.8
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
38.6
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
38.6
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
37.9
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
37.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
37.7
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
37.6
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
37.6
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
37.5
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
37.4
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
37.4
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
37.3
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
37.2
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
37.0
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
36.7
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
36.7
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
36.6
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
36.5
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
36.2
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
36.1
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
36.0
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
36.0
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
35.7
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
35.6
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
35.6
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
35.4
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
35.2
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
35.1
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
34.9
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
34.7
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
34.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
34.6
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
34.6
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
34.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
34.4
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
34.3
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
34.3
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
34.2
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
34.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
34.1
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
34.0
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
34.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
33.7
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
33.5
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
33.4
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
33.2
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
33.2
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
33.1
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
32.9
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
32.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
32.7
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
32.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
32.6
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
32.5
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
32.3
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
32.1
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
32.1
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
32.1
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
32.0
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
31.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
31.8
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
31.5
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
31.2
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
31.1
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
31.0
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
30.9
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
30.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
30.7
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
30.7
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
30.6
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
30.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
30.6
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
30.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
30.4
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
30.4
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
30.3
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
30.3
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
30.3
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
30.2
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
30.1
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
30.1
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
30.0
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
29.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
29.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
29.6
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
29.5
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
29.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
29.2
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
29.1
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
29.1
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
29.0
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
28.9
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
28.7
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
28.7
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
28.7
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
28.7
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
28.7
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
28.1
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
28.1
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
27.8
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
27.7
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
27.6
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
27.5
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
27.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
26.9
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
26.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
26.5
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
26.4
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
26.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
25.7
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
25.5
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
25.3
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
24.9
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
24.7
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
24.7
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
24.6
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
24.2
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
23.9
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
23.9
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
23.8
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
23.5
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
23.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
23.0
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
22.7
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
22.5
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
22.4
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
22.2
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
22.1
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
21.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
21.5
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
21.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
21.3
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
20.9
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
20.3
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
19.8
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
19.6
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
19.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
19.4
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
19.4
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
19.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
18.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
17.5
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
17.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
16.8
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
15.4
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
14.6
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
13.8
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.8
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.8
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.7
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.7
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.7
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.6
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.6
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.6
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.6
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.5
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.5
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.5
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.5
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.4
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.4
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.4
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.4
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.4
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.4
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.4
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.4
b2400046-1d25-429d-a821-6040a6
Tumor
0.4
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.4
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.3
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.3
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.1
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Normal
0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.0
43192517-085e-450e-9481-0a6713_D3
Tumor
0.0
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.0
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.0
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.0
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.0
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.3
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.3
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.3
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.3
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.3
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.4
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.4
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.4
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.4
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.4
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.4
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.4
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.4
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.4
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.5
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.5
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.5
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.5
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.5
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.5
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.5
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.6
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.6
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.6
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.6
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.6
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.6
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.6
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.7
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.7
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.7
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.8
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.9
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.9
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.9
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
