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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.
MAPKAPK2 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
53.1
Number of samples
254
Samples
Sample
Description
TPM
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
132.5
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
128.3
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
110.9
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
108.9
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
104.8
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
96.3
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
93.9
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
93.8
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
91.9
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
90.9
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
90.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
88.0
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
81.6
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
80.9
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
80.5
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
79.4
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
77.2
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
76.7
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
75.3
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
74.4
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
74.3
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
74.3
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
73.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
73.2
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
71.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
71.3
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
71.2
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
71.1
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
70.8
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
70.8
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
70.4
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
70.4
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
70.0
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
69.7
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
69.6
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
69.5
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
69.4
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
69.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
69.1
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
67.8
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
67.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
67.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
66.6
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
66.4
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
66.3
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
65.9
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
65.8
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
65.5
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
65.3
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
65.1
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
64.3
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
63.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
63.3
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
63.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
63.0
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
62.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
62.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
62.0
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
61.9
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
61.8
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
61.6
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
61.2
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
61.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
61.0
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
60.5
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
60.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
59.9
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
59.7
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
59.6
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
59.4
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
59.2
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
59.2
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
59.1
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
58.9
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
58.8
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
58.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
58.8
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
58.6
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
58.3
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
58.2
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
57.8
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
57.6
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
57.5
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
57.4
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
57.4
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
57.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
57.2
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
57.2
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
57.2
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
57.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
56.8
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
56.8
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
56.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
56.0
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
55.8
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
55.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
55.4
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
55.3
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
55.2
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
55.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
55.2
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
55.1
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
55.1
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
55.0
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
54.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
54.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
53.7
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
53.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
53.6
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
53.2
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
53.1
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
52.9
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
52.8
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
52.8
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
52.8
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
52.6
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
52.6
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
52.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
52.6
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
52.4
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
52.1
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
52.0
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
51.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
51.9
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
51.6
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
51.6
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
51.2
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
51.2
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
51.1
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
51.1
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
51.0
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
50.7
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
49.8
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
49.5
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
49.2
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
49.2
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
48.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
48.8
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
48.7
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
48.6
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
48.4
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
48.4
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
47.9
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
47.7
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
47.6
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
47.5
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
47.5
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
47.5
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
47.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
47.3
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
47.3
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
47.3
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
47.1
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
47.0
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
47.0
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
46.8
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
46.7
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
46.7
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
46.5
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
46.5
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
46.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
46.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
46.2
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
46.0
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
45.8
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
45.8
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
45.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
45.7
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
45.5
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
45.5
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
45.4
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
45.4
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
45.4
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
45.0
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
45.0
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
44.8
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
44.7
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
44.6
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
44.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
44.3
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
43.6
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
43.6
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
43.4
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
43.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
43.1
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
42.9
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
42.9
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
42.8
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
42.7
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
42.4
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
42.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
42.1
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
42.1
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
41.9
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
41.8
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
41.3
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
41.0
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
40.9
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
40.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
40.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
40.5
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
40.2
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
39.9
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
39.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
39.6
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
39.5
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
39.4
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
39.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
39.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
38.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
38.5
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
38.5
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
37.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
37.7
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
37.3
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
37.0
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
36.8
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
36.4
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
36.4
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
36.2
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
36.1
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
35.1
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
35.1
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
35.0
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
34.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
34.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
34.0
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
33.9
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
33.7
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
33.6
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
33.2
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
33.1
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
33.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
33.1
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
33.0
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
32.8
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
32.5
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
32.4
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
32.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
31.9
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
31.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
31.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
30.8
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
30.8
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
30.6
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
30.4
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
28.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
27.8
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
27.5
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
26.1
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
25.2
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
23.0
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
21.3
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 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.
MAPKAPK2 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
60.4
Number of samples
486
Samples
Sample
Description
TPM
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
175.2
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
119.7
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
113.0
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
112.2
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
105.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
104.5
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
103.5
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
101.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
100.7
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
100.7
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
98.6
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
98.0
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
93.8
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
93.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
93.0
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
92.6
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
92.3
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
92.0
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
91.5
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
91.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
90.3
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
89.2
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
88.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
87.8
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
87.7
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
87.2
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
87.0
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
86.9
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
86.5
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
86.3
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
86.2
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
85.7
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
85.1
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
83.5
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
83.5
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
83.2
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
82.7
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
81.7
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
81.4
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
81.1
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
80.6
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
80.4
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
79.3
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
79.3
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
79.2
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
78.9
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
78.4
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
77.6
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
77.6
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
77.5
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
77.2
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
77.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
77.2
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
76.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
76.8
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
76.3
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
76.3
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
76.1
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
75.9
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
75.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
75.8
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
75.5
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
75.5
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
75.3
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
75.3
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
75.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
75.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
74.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
74.8
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
74.5
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
74.4
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
73.8
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
73.8
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
73.7
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
73.5
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
73.4
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
73.0
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
73.0
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
72.8
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
72.8
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
72.8
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
72.7
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
72.7
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
72.7
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
72.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
72.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
72.3
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
72.3
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
72.0
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
71.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
71.6
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
71.6
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
71.5
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
71.4
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
71.4
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
71.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
71.1
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
71.0
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
71.0
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
70.9
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
70.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
70.5
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
70.4
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
70.3
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
70.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
70.1
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
70.1
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
70.0
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
70.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
69.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
69.3
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
69.2
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
69.1
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
69.1
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
69.0
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
68.9
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
68.6
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
68.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
68.0
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
68.0
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
67.9
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
67.9
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
67.8
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
67.7
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
67.5
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
67.5
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
67.3
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
67.3
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
67.1
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
66.9
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
66.9
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
66.8
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
66.8
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
66.7
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
66.3
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
66.3
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
66.2
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
66.2
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
66.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
65.9
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
65.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
65.7
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
65.5
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
65.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
65.5
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
65.4
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
65.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
65.1
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
65.1
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
65.1
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
65.1
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
65.0
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
65.0
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
65.0
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
64.9
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
64.8
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
64.7
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
64.5
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
64.5
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
64.4
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
64.4
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
64.3
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
64.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
64.3
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
64.1
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
64.1
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
64.0
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
63.8
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
63.8
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
63.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
63.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
63.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
63.3
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
63.3
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
63.3
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
63.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
63.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
63.0
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
62.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
62.9
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
62.9
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
62.9
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
62.9
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
62.9
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
62.8
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
62.8
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
62.8
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
62.7
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
62.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
62.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
62.4
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
62.4
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
62.1
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
62.1
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
62.0
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
62.0
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
61.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
61.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
61.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
61.7
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
61.7
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
61.5
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
61.5
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
61.5
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
61.5
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
61.3
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
61.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
61.3
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
61.3
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
61.2
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
61.1
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
61.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
61.0
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
60.8
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
60.8
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
60.5
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
60.4
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
60.4
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
60.3
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
60.1
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
60.1
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
60.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
59.9
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
59.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
59.8
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
59.7
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
59.7
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
59.7
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
59.6
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
59.5
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
59.5
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
59.5
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
59.5
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
59.3
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
59.3
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
59.0
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
59.0
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
59.0
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
59.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
59.0
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
58.9
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
58.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
58.7
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
58.7
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
58.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
58.5
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
58.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
58.4
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
58.3
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
58.3
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
58.2
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
58.2
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
58.1
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
58.1
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
58.0
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
58.0
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
57.9
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
57.8
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
57.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
57.6
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
57.6
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
57.6
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
57.5
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
57.5
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
57.4
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
57.4
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
57.4
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
57.4
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
57.3
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
57.2
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
57.2
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
57.2
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
57.1
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
57.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
57.0
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
56.9
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
56.8
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
56.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
56.8
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
56.6
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
56.5
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
56.4
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
56.3
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
56.1
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
56.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
56.0
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
55.9
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
55.9
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
55.9
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
55.8
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
55.8
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
55.7
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
55.7
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
55.6
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
55.5
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
55.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
55.4
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
55.3
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
55.3
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
55.3
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
55.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
55.2
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
55.2
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
55.1
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
55.0
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
55.0
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
55.0
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
54.9
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
54.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
54.7
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
54.7
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
54.6
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
54.6
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
54.5
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
54.5
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
54.4
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
54.4
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
54.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
54.2
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
54.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
54.0
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
53.9
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
53.8
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
53.7
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
53.7
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
53.7
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
53.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
53.6
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
53.6
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
53.6
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
53.6
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
53.5
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
53.5
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
53.5
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
53.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
53.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
53.2
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
53.1
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
53.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
53.0
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
52.9
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
52.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
52.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
52.8
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
52.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
52.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
52.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
52.7
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
52.4
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
52.4
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
52.3
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
52.3
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
52.3
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
52.3
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
52.2
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
52.1
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
52.0
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
52.0
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
51.9
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
51.9
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
51.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
51.8
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
51.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
51.6
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
51.5
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
51.5
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
51.4
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
51.4
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
51.3
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
51.3
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
51.2
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
50.8
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
50.5
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
50.5
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
50.5
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
50.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
49.9
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
49.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
49.7
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
49.3
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
49.2
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
49.1
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
49.1
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
49.0
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
49.0
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
49.0
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
48.9
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
48.9
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
48.9
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
48.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
48.8
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
48.4
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
48.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
48.1
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
48.1
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
48.0
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
47.9
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
47.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
47.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
47.5
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
47.5
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
47.4
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
47.3
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
47.0
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
47.0
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
47.0
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
46.9
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
46.8
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
46.7
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
46.7
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
46.6
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
46.5
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
46.4
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
46.2
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
46.2
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
45.7
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
45.7
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
45.7
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
45.7
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
45.7
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
45.7
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
45.5
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
45.4
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
45.3
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
45.3
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
45.2
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
45.1
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
45.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
44.7
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
44.6
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
44.5
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
44.5
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
44.4
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
44.4
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
44.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
44.0
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
43.8
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
43.7
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
43.5
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
43.2
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
43.2
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
42.9
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
42.9
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
42.8
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
42.7
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
42.6
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
42.6
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
42.6
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
42.6
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
42.6
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
42.6
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
42.2
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
42.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
42.0
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
41.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
41.8
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
41.4
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
41.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
40.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
40.9
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
40.7
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
40.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
40.6
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
39.4
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
39.0
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
38.7
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
38.7
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
38.4
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
38.0
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
37.8
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
37.3
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
37.3
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
36.6
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
36.4
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
36.0
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
35.6
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
34.9
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
34.3
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
34.1
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
33.6
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
33.3
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
33.0
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
32.6
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
31.3
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.6
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MAPKAPK2 is not prognostic in Rectum Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
53.4
Number of samples
88
Samples
Sample
Description
TPM
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
104.5
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
93.1
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
85.3
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
85.2
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
82.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
79.5
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
79.3
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
78.7
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
77.9
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
77.2
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
76.9
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
74.5
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
71.9
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
69.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
69.5
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
66.5
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
66.2
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
66.0
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
64.7
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
64.5
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
63.9
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
63.7
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
63.6
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
63.3
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
63.1
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
63.0
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
62.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
61.4
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
61.3
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
58.7
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
58.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
58.1
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
56.6
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
55.6
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
55.3
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
55.3
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
55.2
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
54.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
54.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
53.9
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
53.8
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
53.2
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
52.6
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
52.2
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
52.1
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
51.8
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
50.3
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
49.5
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
49.0
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
48.8
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
48.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
48.1
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
48.1
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
47.8
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
47.5
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
45.1
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
44.8
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
44.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
44.3
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
44.2
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
44.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
43.9
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
43.6
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
42.5
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
42.0
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
41.4
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
41.0
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
40.9
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
40.3
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
40.0
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
39.4
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
39.0
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
38.7
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
37.8
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
37.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
37.1
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
35.8
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
34.2
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
33.5
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
33.4
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
31.0
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
30.8
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
30.7
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
30.2
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
29.0
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
28.2
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
23.6
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MAPKAPK2 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
56.3
Number of samples
207
Samples
Sample
Description
TPM
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
105.8
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
95.1
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
92.1
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
90.3
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
90.2
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
87.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
85.1
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
84.6
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
82.7
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
81.4
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
78.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
78.5
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
77.0
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
76.1
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
75.9
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
75.4
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
74.9
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
74.9
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
74.6
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
74.6
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
74.3
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
72.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
72.0
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
70.9
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
70.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
69.9
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
69.7
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
69.7
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
69.5
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
69.0
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
68.9
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
68.2
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
68.0
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
68.0
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
67.8
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
67.5
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
67.4
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
67.1
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
67.0
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
66.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
66.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
66.5
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
66.3
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
66.2
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
65.9
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
65.1
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
64.9
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
64.9
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
64.4
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
64.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
64.1
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
63.9
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
63.7
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
63.6
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
62.9
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
62.5
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
62.5
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
62.2
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
62.2
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
62.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
61.5
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
61.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
61.2
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
61.1
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
61.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
61.0
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
60.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
60.8
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
60.8
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
60.8
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
60.7
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
60.4
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
60.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
59.5
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
59.5
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
59.5
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
59.4
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
59.3
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
59.2
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
59.2
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
59.0
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
59.0
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
58.6
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
58.3
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
58.3
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
58.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
58.1
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
58.1
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
57.9
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
57.8
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
57.7
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
57.6
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
57.6
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
56.9
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
56.7
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
56.7
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
56.6
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
56.5
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
55.8
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
55.7
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
55.6
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
55.5
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
55.1
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
55.0
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
54.8
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
54.8
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
54.7
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
54.7
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
54.6
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
54.1
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
54.0
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
53.9
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
53.4
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
53.3
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
53.0
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
53.0
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
52.9
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
52.7
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
52.6
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
52.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
52.2
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
52.1
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
52.1
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
52.1
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
52.1
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
51.9
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
51.9
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
51.8
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
51.6
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
51.6
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
51.3
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
51.3
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
51.2
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
51.2
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
50.7
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
50.7
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
50.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
50.5
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
50.4
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
50.0
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
49.8
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
49.7
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
49.6
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
49.6
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
49.3
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
49.3
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
49.3
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
49.1
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
49.0
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
49.0
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
48.7
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
48.6
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
48.5
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
48.0
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
47.8
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
47.6
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
47.0
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
46.9
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
46.9
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
46.9
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
46.7
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
46.6
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
46.5
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
46.5
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
46.3
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
46.3
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
46.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
45.8
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
45.6
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
45.5
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
45.3
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
45.2
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
45.1
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
44.6
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
44.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
44.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
43.9
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
43.8
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
43.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
43.6
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
43.4
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
43.2
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
43.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
42.8
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
42.8
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
42.3
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
41.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
41.8
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
40.6
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
40.0
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
39.6
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
39.2
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
39.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
38.9
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
38.3
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
37.9
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
36.7
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
36.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
36.1
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
35.7
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
35.3
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
33.6
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
33.4
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
31.0
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
29.4
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
24.1
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
8.0
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.7
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.5
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.4
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.4
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.4
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.4
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.4
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.4
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.4
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
0.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.3
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.3
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
0.0
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.0
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.0
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.0
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
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Tumor
0.0
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.0
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.0
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.0
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.0
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.0
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.0
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.0
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.0
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.0
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.0
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.0
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.0
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.0
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.0
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.0
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.0
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.0
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.0
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.0
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.0
963fc8db-f412-4427-a198-23f660_D2
Normal
0.0
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.0
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.0
82157a70-12f1-4913-b548-d98881_D2
Normal
0.0
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.1
b2400046-1d25-429d-a821-6040a6
Tumor
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.1
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.2
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.4
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.4
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.4
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.6
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
